Table of Contents

• Using diversity as a source of scientific innovation for the WebBarbara Poblete. 1 [doi]
• Decolonizing Creative Labor in the age of AIPayal Arora. 2 [doi]
• Concept Regulation in the Social SciencesZachary Elkins. 3 [doi]
• GNNs and Graph Generative models for biomedical applicationsMichalis Vazirgiannis. 4 [doi]
• ConnectivityRobert Melancton Metcalfe. 5 [doi]
• GELTOR: A Graph Embedding Method based on Listwise Learning to RankMasoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim. 6-16 [doi]
• Graph-less Collaborative FilteringLianghao Xia, Chao Huang, Jiao Shi, Yong Xu. 17-27 [doi]
• Fair Graph Representation Learning via Diverse Mixture-of-ExpertsZheyuan Liu 0010, Chunhui Zhang, Yijun Tian 0001, Erchi Zhang, Chao Huang 0001, Yanfang Ye 0001, Chuxu Zhang. 28-38 [doi]
• Multi-Aspect Heterogeneous Graph AugmentationYuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang. 39-48 [doi]
• Testing Cluster Properties of Signed GraphsFlorian Adriaens, Simon Apers. 49-59 [doi]
• RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural NetworksZeyu Zhang, Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Yupan Wang, Kaiqi Zhao 0001, Zijian Zhang 0001. 60-70 [doi]
• NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and TensorsTaehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin. 71-81 [doi]
• Multi-aspect Diffusion Network InferenceHao Huang 0001, Keqi Han, Beicheng Xu, Ting Gan. 82-90 [doi]
• Collaboration-Aware Graph Convolutional Network for Recommender SystemsYu Wang 0160, Yuying Zhao, Yi Zhang, Tyler Derr. 91-101 [doi]
• Pairwise-interactions-based Bayesian Inference of Network Structure from Information CascadesChao Gao, Yuchen Wang, Zhen Wang 0004, Xianghua Li, Xuelong Li 0001. 102-110 [doi]
• Encoding Node Diffusion Competence and Role Significance for Network DismantlingJiazheng Zhang, Bang Wang. 111-121 [doi]
• Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social NetworkZhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li 0008. 122-132 [doi]
• Opinion Maximization in Social Networks via Leader SelectionXiaotian Zhou, Zhongzhi Zhang. 133-142 [doi]
• SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with MaskingXiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao. 143-153 [doi]
• Graph Self-supervised Learning with Augmentation-aware Contrastive LearningDong Chen, Xiang Zhao, Wei Wang 0011, Zhen Tan, Weidong Xiao. 154-164 [doi]
• Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based RecommendationJiajie Su, Chaochao Chen 0001, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu. 165-176 [doi]
• Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising FiltersLiangtian Wan, Xiaona Li, Huijin Han, Xiaoran Yan, Lu Sun 0004, Zhaolong Ning, Feng Xia 0001. 177-187 [doi]
• HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural NetworksChenxu Wang, Xin Wang, Zhao Li, Zirui Chen, Jianxin Li 0001. 188-198 [doi]
• Efficient Approximation Algorithms for the Diameter-Bounded Max-Coverage Group Steiner Tree ProblemKe Zhang, Xiaoqing Wang, Gong Cheng 0001. 199-209 [doi]
• Neighborhood Structure Configuration ModelsFelix I. Stamm, Michael Scholkemper, Michael T. Schaub, Markus Strohmaier. 210-220 [doi]
• CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-SquashingYang Liu, Chuan Zhou 0001, Shirui Pan, Jia Wu 0001, Zhao Li 0001, Hongyang Chen, Peng Zhang 0001. 221-230 [doi]
• Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network EmbeddingHyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim. 231-239 [doi]
• ConsRec: Learning Consensus Behind Interactions for Group RecommendationXixi Wu, Yun Xiong, Yao Zhang 0009, Yizhu Jiao, Jiawei Zhang 0005, Yangyong Zhu, Philip S. Yu. 240-250 [doi]
• A Post-Training Framework for Improving Heterogeneous Graph Neural NetworksCheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu. 251-262 [doi]
• Link Prediction on Latent Heterogeneous GraphsTrung-Kien Nguyen, Zemin Liu, Yuan Fang 0001. 263-273 [doi]
• Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural NetworkWendong Bi, Bingbing Xu, Xiaoqian Sun, Li Xu, Huawei Shen, Xueqi Cheng. 274-285 [doi]
• Lightweight source localization for large-scale social networksZhen Wang, Dongpeng Hou, Chao Gao, Xiaoyu Li, Xuelong Li. 286-294 [doi]
• Automated Spatio-Temporal Graph Contrastive LearningQianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu. 295-305 [doi]
• Graph Neural Networks with Diverse Spectral FilteringJingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang. 306-316 [doi]
• Characterization of Simplicial Complexes by Counting Simplets Beyond Four NodesHyunju Kim, Jihoon Ko, Fanchen Bu, Kijung Shin. 317-327 [doi]
• Robust Mid-Pass Filtering Graph Convolutional NetworksJincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang 0001. 328-338 [doi]
• Semi-decentralized Federated Ego Graph Learning for RecommendationLiang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin. 339-348 [doi]
• xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link PredictionXiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie 0001, Hai Jin 0001. 349-359 [doi]
• SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifoldsJunda Ye, Zhongbao Zhang, Li Sun 0008, Yang Yan, Feiyang Wang, Fuxin Ren. 360-371 [doi]
• PARROT: Position-Aware Regularized Optimal Transport for Network AlignmentZhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong. 372-382 [doi]
• Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential RecommendationWeiming Liu, Xiaolin Zheng, Chaochao Chen 0001, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan. 383-394 [doi]
• Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift ModelingDingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou. 395-405 [doi]
• Label Information Enhanced Fraud Detection against Low Homophily in GraphsYuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong 0001, Jiahui Jin, Beilun Wang, Junzhou Luo. 406-416 [doi]
• GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural NetworksZemin Liu, Xingtong Yu, Yuan Fang 0001, Xinming Zhang 0001. 417-428 [doi]
• An Attentional Multi-scale Co-evolving Model for Dynamic Link PredictionGuozhen Zhang, Tian Ye, Depeng Jin, Yong Li. 429-437 [doi]
• Robust Graph Representation Learning for Local Corruption RecoveryBingxin Zhou, Yuanhong Jiang, Yuguang Wang 0001, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang. 438-448 [doi]
• Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain RecommendationZhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao. 449-459 [doi]
• Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node ClassificationXingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li. 460-468 [doi]
• Graph Neural Networks without PropagationLiang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang 0002, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo. 469-477 [doi]
• TIGER: Temporal Interaction Graph Embedding with RestartsYao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu. 478-488 [doi]
• Self-Supervised Teaching and Learning of Representations on GraphsLiangtian Wan, Zhenqiang Fu, Lu Sun 0004, Xianpeng Wang 0001, Gang Xu, Xiaoran Yan, Feng Xia 0001. 489-498 [doi]
• SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy OptimizationDongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu. 499-510 [doi]
• Homophily-oriented Heterogeneous Graph RewiringJiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang 0001, Yan Zhang. 511-522 [doi]
• HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link PredictionQijie Bai, Changli Nie, Haiwei Zhang, Dongming Zhao, Xiaojie Yuan. 523-532 [doi]
• Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification TaskXiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng. 533-544 [doi]
• CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence DiffusionHsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen. 545-555 [doi]
• Federated Node Classification over Graphs with Latent Link-type HeterogeneityHan Xie, Li Xiong 0001, Carl Yang. 556-566 [doi]
• Expressive and Efficient Representation Learning for Ranking Links in Temporal GraphsSusheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li 0005. 567-577 [doi]
• Semi-Supervised Embedding of Attributed Multiplex NetworksYlli Sadikaj, Justus Rass, Yllka Velaj, Claudia Plant. 578-587 [doi]
• Search to Capture Long-range Dependency with Stacking GNNs for Graph ClassificationLanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao. 588-598 [doi]
• HINormer: Representation Learning On Heterogeneous Information Networks with Graph TransformerQiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun. 599-610 [doi]
• Auto-HeG: Automated Graph Neural Network on Heterophilic GraphsXin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang 0011, Chuan Zhou 0001, Shirui Pan. 611-620 [doi]
• Generating Counterfactual Hard Negative Samples for Graph Contrastive LearningHaoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu. 621-629 [doi]
• Minimum Topology Attacks for Graph Neural NetworksMengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du. 630-640 [doi]
• Multi-head Variational Graph Autoencoder Constrained by Sum-product NetworksRiting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang 0002. 641-650 [doi]
• GIF: A General Graph Unlearning Strategy via Influence FunctionJiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang 0010, Xiangnan He 0001. 651-661 [doi]
• Learning Mixtures of Markov Chains with Quality GuaranteesFabian Spaeh, Charalampos E. Tsourakakis. 662-672 [doi]
• INCREASE: Inductive Graph Representation Learning for Spatio-Temporal KrigingChuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi 0001, Chaochao Chen, Longbiao Chen. 673-683 [doi]
• Dual Intent Enhanced Graph Neural Network for Session-based New Item RecommendationDi Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan. 684-693 [doi]
• Cut-matching Games for Generalized Hypergraph Ratio CutsNate Veldt. 694-704 [doi]
• Toward Degree Bias in Embedding-Based Knowledge Graph CompletionHarry Shomer, Wei Jin, Wentao Wang 0006, Jiliang Tang. 705-715 [doi]
• Unlearning Graph Classifiers with Limited Data ResourcesChao Pan 0003, Eli Chien, Olgica Milenkovic. 716-726 [doi]
• KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural NetworksZhizhi Yu, Di Jin 0001, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu 0001, Lingfei Wu. 727-736 [doi]
• GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph LearnerZhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang 0001. 737-746 [doi]
• CogDL: A Comprehensive Library for Graph Deep LearningYukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang. 747-758 [doi]
• ApeGNN: Node-Wise Adaptive Aggregation in GNNs for RecommendationDan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang 0001. 759-769 [doi]
• Enhancing User Personalization in Conversational RecommendersAllen Lin, Ziwei Zhu 0001, Jianling Wang, James Caverlee. 770-778 [doi]
• LINet: A Location and Intention-Aware Neural Network for Hotel Group RecommendationRuitao Zhu, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng, Ke Bu, Quan Lu, Fan Wu 0006. 779-789 [doi]
• Multi-Modal Self-Supervised Learning for RecommendationWei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang. 790-800 [doi]
• Distillation from Heterogeneous Models for Top-K RecommendationSeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie 0001, Hwanjo Yu. 801-811 [doi]
• On the Theories Behind Hard Negative Sampling for RecommendationWentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He 0001. 812-822 [doi]
• Fine-tuning Partition-aware Item Similarities for Efficient and Scalable RecommendationTianjun Wei, Jianghong Ma, Tommy W. S. Chow. 823-832 [doi]
• Exploration and Regularization of the Latent Action Space in RecommendationShuchang Liu 0006, Qingpeng Cai 0001, Bowen Sun, Yuhao Wang, Ji-jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang. 833-844 [doi]
• Bootstrap Latent Representations for Multi-modal RecommendationXin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang. 845-854 [doi]
• Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic TransformerYu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li. 855-864 [doi]
• Two-Stage Constrained Actor-Critic for Short Video RecommendationQingpeng Cai 0001, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu 0006, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai. 865-875 [doi]
• Recommendation with Causality enhanced Natural Language ExplanationsJingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang. 876-886 [doi]
• Cross-domain recommendation via user interest alignmentChuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan 0001. 887-896 [doi]
• Robust Recommendation with Adversarial Gaussian Data AugmentationZhenlei Wang, Xu Chen. 897-905 [doi]
• Learning to Simulate Daily Activities via Modeling Dynamic Human NeedsYuan Yuan 0032, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li 0008. 906-916 [doi]
• Dual-interest Factorization-heads Attention for Sequential RecommendationGuanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li. 917-927 [doi]
• Contrastive Collaborative Filtering for Cold-Start Item RecommendationZhihui Zhou, Lilin Zhang, Ning Yang. 928-937 [doi]
• Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender ModelXiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang. 938-948 [doi]
• Controllable Universal Fair Representation LearningYue Cui, Ma Chen, Kai Zheng, Lei Chen, Xiaofang Zhou 0001. 949-959 [doi]
• Compressed Interaction Graph based Framework for Multi-behavior RecommendationWei Guo 0006, Chang Meng, Enming Yuan, Zhicheng He 0001, Huifeng Guo, Yingxue Zhang 0001, Bo Chen 0023, Yaochen Hu 0001, Ruiming Tang, Xiu Li, Rui Zhang. 960-970 [doi]
• A Counterfactual Collaborative Session-based Recommender SystemWenzhuo Song, Shoujin Wang, Yan Wang 0002, Kunpeng Liu, Xueyan Liu 0001, Minghao Yin. 971-982 [doi]
• Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain RecommendationZixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng. 983-991 [doi]
• Automated Self-Supervised Learning for RecommendationLianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao. 992-1002 [doi]
• AutoDenoise: Automatic Data Instance Denoising for RecommendationsWeilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang. 1003-1011 [doi]
• Improving Recommendation Fairness via Data AugmentationLei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang. 1012-1020 [doi]
• ColdNAS: Search to Modulate for User Cold-Start RecommendationShiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao. 1021-1031 [doi]
• AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for RecommendationRui Fan, Yuanhao Pu, Jin Chen 0008, Zhihao Zhu 0002, Defu Lian, Enhong Chen. 1032-1042 [doi]
• Quantize Sequential Recommenders Without Private DataLingfeng Shi, Yuang Liu, Jun Wang, Wei Zhang. 1043-1052 [doi]
• Interaction-level Membership Inference Attack Against Federated Recommender SystemsWei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, LiZhen Cui, Tieke He, Hongzhi Yin. 1053-1062 [doi]
• Debiased Contrastive Learning for Sequential RecommendationYuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin. 1063-1073 [doi]
• Clustered Embedding Learning for Recommender SystemsYizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou. 1074-1084 [doi]
• Adap-τ : Adaptively Modulating Embedding Magnitude for RecommendationJiawei Chen 0007, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou 0004, Xiangnan He 0001. 1085-1096 [doi]
• Robust Preference-Guided Denoising for Graph based Social RecommendationYuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li. 1097-1108 [doi]
• MMMLP: Multi-modal Multilayer Perceptron for Sequential RecommendationsJiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu 0001. 1109-1117 [doi]
• Response-act Guided Reinforced Dialogue Generation for Mental Health CounselingAseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty 0002. 1118-1129 [doi]
• Few-shot News Recommendation via Cross-lingual TransferTaicheng Guo, Lu Yu 0006, Basem Shihada, Xiangliang Zhang 0001. 1130-1140 [doi]
• User Retention-oriented Recommendation with Decision TransformerKesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin. 1141-1149 [doi]
• Cooperative Retriever and Ranker in Deep RecommendersXu Huang, Defu Lian, Jin Chen, Liu Zheng, Xing Xie 0001, Enhong Chen. 1150-1161 [doi]
• Learning Vector-Quantized Item Representation for Transferable Sequential RecommendersYupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao. 1162-1171 [doi]
• Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender SystemTangwei Ye, Liang Hu, Qi Zhang 0020, Zhong Yuan Lai, Usman Naseem, Dora D. Liu. 1172-1180 [doi]
• Multi-Behavior Recommendation with Cascading Graph Convolution NetworksZhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng. 1181-1189 [doi]
• AutoMLP: Automated MLP for Sequential RecommendationsMuyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao 0002, Runze Wu, Ruocheng Guo. 1190-1198 [doi]
• NASRec: Weight Sharing Neural Architecture Search for Recommender SystemsTunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen 0001, Wei Wen. 1199-1207 [doi]
• Membership Inference Attacks Against Sequential Recommender SystemsZhihao Zhu 0002, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen. 1208-1219 [doi]
• Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action GroupingJie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui. 1220-1230 [doi]
• Communicative MARL-based Relevance Discerning Network for Repetition-Aware RecommendationKaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang, Shangguang Wang. 1231-1239 [doi]
• Invariant Collaborative Filtering to Popularity Distribution ShiftAn Zhang 0003, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua. 1240-1251 [doi]
• Modeling Temporal Positive and Negative Excitation for Sequential RecommendationChengkai Huang, Shoujin Wang, Xianzhi Wang 0001, Lina Yao 0001. 1252-1263 [doi]
• Personalized Graph Signal Processing for Collaborative FilteringJiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang 0060, Li Shang, Ning Gu. 1264-1272 [doi]
• Multi-Task Recommendations with Reinforcement LearningZiru Liu, Jiejie Tian, Qingpeng Cai 0001, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai. 1273-1282 [doi]
• A Self-Correcting Sequential RecommenderYujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin 0003, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng 0001, Pengjie Ren. 1283-1293 [doi]
• Cross-domain Recommendation with Behavioral Importance PerceptionHong Chen, Xin Wang, Ruobing Xie, Yuwei Zhou, Wenwu Zhu 0001. 1294-1304 [doi]
• Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased RecommendationsHaoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu 0012. 1305-1313 [doi]
• FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot DetectionYingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou. 1314-1323 [doi]
• Code Recommendation for Open Source Software DevelopersYiqiao Jin, Yunsheng Bai, Yanqiao Zhu 0001, Yizhou Sun, Wei Wang 0010. 1324-1333 [doi]
• Web Table Formatting Affects Readability on Mobile DevicesChristopher Tensmeyer, Zoya Bylinskii, Tianyuan Cai 0004, Dave Miller 0001, Ani Nenkova, Aleena Gertrudes Niklaus, Shaun Wallace. 1334-1344 [doi]
• Web Structure Derived Clustering for Optimised Web Accessibility EvaluationAlexander Hambley, Yeliz Yesilada, Markel Vigo, Simon Harper. 1345-1354 [doi]
• Denoising and Prompt-Tuning for Multi-Behavior RecommendationChi Zhang 0060, Rui Chen 0012, Xiangyu Zhao, Qilong Han, Li Li 0035. 1355-1363 [doi]
• pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated LearningTao Guo, Song Guo 0001, Junxiao Wang. 1364-1374 [doi]
• Mutual Wasserstein Discrepancy Minimization for Sequential RecommendationZiwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu. 1375-1385 [doi]
• Confident Action Decision via Hierarchical Policy Learning for Conversational RecommendationHeeseon Kim, Hyeongjun Yang, Kyong-Ho Lee. 1386-1395 [doi]
• CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in RecommendationYuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng. 1396-1404 [doi]
• Word Sense Disambiguation by Refining Target Word EmbeddingXuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao. 1405-1414 [doi]
• Hashtag-Guided Low-Resource Tweet ClassificationShizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song 0003, Tong Zhang 0001. 1415-1426 [doi]
• HISum: Hyperbolic Interaction Model for Extractive Multi-Document SummarizationMingYang Song, Yi Feng, Liping Jing. 1427-1436 [doi]
• FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series ClassificationMingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen. 1437-1445 [doi]
• Descartes: Generating Short Descriptions of Wikipedia ArticlesMarija Sakota, Maxime Peyrard, Robert West 0001. 1446-1456 [doi]
• Dynamically Expandable Graph Convolution for Streaming RecommendationBowei He, Xu He, Yingxue Zhang 0001, Ruiming Tang, Chen Ma 0001. 1457-1467 [doi]
• A Dual Prompt Learning Framework for Few-Shot Dialogue State TrackingYuting Yang 0002, Wenqiang Lei, Pei Huang 0002, Juan Cao, Jintao Li 0001, Tat-Seng Chua. 1468-1477 [doi]
• Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender SystemsHeesoo Jung, Sangpil Kim, Hogun Park. 1478-1488 [doi]
• CL-WSTC: Continual Learning for Weakly Supervised Text Classification on the InternetMiaomiao Li, Jiaqi Zhu, Xin Yang, Yi Yang, Qiang Gao, Hongan Wang. 1489-1499 [doi]
• TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance DetectionYingjie Li, Chenye Zhao, Cornelia Caragea. 1500-1509 [doi]
• Learning Robust Multi-Modal Representation for Multi-Label Emotion Recognition via Adversarial Masking and PerturbationShiping Ge, Zhiwei Jiang, Zifeng Cheng, Cong Wang, Yafeng Yin, Qing Gu. 1510-1518 [doi]
• Continual Few-shot Learning with Transformer Adaptation and Knowledge RegularizationXin Wang, Yue Liu, Jiapei Fan, Weigao Wen, Hui Xue, Wenwu Zhu 0001. 1519-1527 [doi]
• Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph SpectrumYuan Gao, Xiang Wang, Xiangnan He 0001, Zhenguang Liu, Huamin Feng, Yongdong Zhang 0001. 1528-1538 [doi]
• CTRLStruct: Dialogue Structure Learning for Open-Domain Response GenerationCongchi Yin, Piji Li, Zhaochun Ren. 1539-1550 [doi]
• KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of MicroservicesQin Hua, Dingyu Yang, Shiyou Qian, Hanwen Hu, Jian Cao 0001, Guangtao Xue. 1551-1561 [doi]
• Open-World Social Event ClassificationShengsheng Qian, Hong Chen, Dizhan Xue, Quan Fang, Changsheng Xu. 1562-1571 [doi]
• KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance PredictionYun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim. 1572-1583 [doi]
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• Self-training through Classifier Disagreement for Cross-Domain Opinion Target ExtractionKai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu 0001. 1594-1603 [doi]
• Dynalogue: A Transformer-Based Dialogue System with Dynamic AttentionRongjunchen Zhang, Tingmin Wu, Xiao Chen 0002, Sheng Wen, Surya Nepal, Cécile Paris, Yang Xiang 0001. 1604-1615 [doi]
• Active Learning from the WebRyoma Sato. 1616-1625 [doi]
• The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model StudyYu Zhang, Bowen Jin, Qi Zhu 0008, Yu Meng, Jiawei Han 0001. 1626-1637 [doi]
• Fast and Multi-aspect Mining of Complex Time-stamped Event StreamsKota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai. 1638-1649 [doi]
• PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets StreamSusik Yoon, Hou Pong Chan, Jiawei Han 0001. 1650-1661 [doi]
• "Why is this misleading?": Detecting News Headline Hallucinations with ExplanationsJiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Mike Bendersky, Marc Najork. 1662-1672 [doi]
• DIWIFT: Discovering Instance-wise Influential Features for Tabular DataDugang Liu, Pengxiang Cheng 0002, Hong Zhu, Xing Tang 0007, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming 0001, Xiuqiang He 0001. 1673-1682 [doi]
• Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource SettingsZhenyu Zhang 0006, Bowen Yu 0002, Tingwen Liu, Tianyun Liu, Yubin Wang, Li Guo 0001. 1683-1692 [doi]
• Learning Disentangled Representation via Domain Adaptation for Dialogue SummarizationJinpeng Li 0003, Yingce Xia, Xin Cheng, Dongyan Zhao 0001, Rui Yan 0001. 1693-1702 [doi]
• XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource LanguagesDhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta 0001, Vasudeva Varma. 1703-1713 [doi]
• TMMDA: A New Token Mixup Multimodal Data Augmentation for Multimodal Sentiment AnalysisXianbing Zhao, Yixin Chen, Sicen Liu, Xuan Zang, Yang Xiang, Buzhou Tang. 1714-1722 [doi]
• Node-wise Diffusion for Scalable Graph LearningKeke Huang, Jing Tang 0004, Juncheng Liu, Renchi Yang, Xiaokui Xiao. 1723-1733 [doi]
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• MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer AdaptersLin Tian, Xiuzhen Zhang, Jey Han Lau. 1743-1753 [doi]
• EmpMFF: A Multi-factor Sequence Fusion Framework for Empathetic Response GenerationXiaoBing Pang, Yequan Wang, Siqi Fan, Lisi Chen, Shuo Shang, Peng Han 0005. 1754-1764 [doi]
• Automatic Feature Selection By One-Shot Neural Architecture Search In Recommendation SystemsHe Wei, Yuekui Yang, Haiyang Wu, Yangyang Tang, Meixi Liu, Jianfeng Li. 1765-1772 [doi]
• Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive LearningShweta Yadav 0001, Stefan Cobeli, Cornelia Caragea. 1773-1783 [doi]
• CEIL: A General Classification-Enhanced Iterative Learning Framework for Text ClusteringMingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu. 1784-1792 [doi]
• Modeling Dynamic Interactions over Tensor StreamsKoki Kawabata, Yasuko Matsubara, Yasushi Sakurai. 1793-1803 [doi]
• Semi-supervised Adversarial Learning for Complementary Item RecommendationKoby Bibas, Oren Sar Shalom, Dietmar Jannach. 1804-1812 [doi]
• Interval-censored Transformer Hawkes: Detecting Information Operations using the Reaction of Social SystemsQuyu Kong, Pio Calderon, Rohit Ram, Olga Boichak, Marian-Andrei Rizoiu. 1813-1821 [doi]
• Constrained Subset Selection from Data Streams for Profit MaximizationShuang Cui, Kai Han 0003, Jing Tang, He Huang 0001. 1822-1831 [doi]
• Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation ExtractionMi Zhang, Tieyun Qian, Ting Zhang, Xin Miao. 1832-1842 [doi]
• CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper SummarizationZheheng Luo, Qianqian Xie, Sophia Ananiadou. 1843-1852 [doi]
• SCStory: Self-supervised and Continual Online Story DiscoverySusik Yoon, Yu Meng, Dongha Lee, Jiawei Han 0001. 1853-1864 [doi]
• Set in Stone: Analysis of an Immutable Web3 Social Media PlatformWenrui Zuo, Aravindh Raman, Raul J. Mondragón, Gareth Tyson. 1865-1874 [doi]
• Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price predictionDavide Costa, Lucio La Cava, Andrea Tagarelli. 1875-1885 [doi]
• Catch: Collaborative Feature Set Search for Automated Feature EngineeringGuoshan Lu, Haobo Wang, Saisai Yang, Jing Yuan, Guozheng Yang, Cheng Zang, Gang Chen 0002, Junbo Zhao. 1886-1896 [doi]
• CoTel: Ontology-Neural Co-Enhanced Text LabelingMiao-Hui Song, Lan Zhang 0002, Mu Yuan, Zichong Li, Qi Song, Yijun Liu, Guidong Zheng. 1897-1906 [doi]
• Extracting Cultural Commonsense Knowledge at ScaleTuan-Phong Nguyen, Simon Razniewski, Aparna S. Varde, Gerhard Weikum. 1907-1917 [doi]
• Know Your Transactions: Real-time and Generic Transaction Semantic Representation on Blockchain & Web3 EcosystemZhiying Wu, Jieli Liu, Jiajing Wu, Zibin Zheng, Xiapu Luo, Ting Chen. 1918-1927 [doi]
• Toward Open-domain Slot Filling via Self-supervised Co-trainingAdib Mosharrof, Moghis Fereidouni, A. B. Siddique 0001. 1928-1937 [doi]
• A Multi-view Meta-learning Approach for Multi-modal Response GenerationZhiliang Tian, Zheng Xie, Fuqiang Lin, Yiping Song. 1938-1947 [doi]
• Unsupervised Event Chain Mining from Multiple DocumentsYizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han 0001. 1948-1959 [doi]
• Interactive Log Parsing via Light-weight User FeedbackLiming Wang, Hong Xie 0004, Ye Li, Jian Tan, John C. S. Lui. 1960-1968 [doi]
• Measuring and Evading Turkmenistan's Internet Censorship: A Case Study in Large-Scale Measurements of a Low-Penetration CountrySadia Nourin, Van Tran, Xi Jiang, Kevin Bock 0001, Nick Feamster, Nguyen Phong Hoang, Dave Levin. 1969-1979 [doi]
• Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership VerificationYunpeng Liu, Kexin Li, Zhuotao Liu, Bihan Wen, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Qi Li 0002. 1980-1990 [doi]
• Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP TrafficGuodong Huang, Chuan Ma, Ming Ding, Yuwen Qian, Chunpeng Ge, Liming Fang, Zhe Liu 0001. 1991-1999 [doi]
• MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph EmbeddingXiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng. 2000-2010 [doi]
• Curriculum Graph PoisoningHanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, JunZhou Huang, Yuesheng Zhu, Yadong Mu. 2011-2021 [doi]
• On How Zero-Knowledge Proof Blockchain Mixers Improve, and Worsen User PrivacyZhipeng Wang, Stefanos Chaliasos, Kaihua Qin, Liyi Zhou, Lifeng Gao, Pascal Berrang, Benjamin Livshits, Arthur Gervais. 2022-2032 [doi]
• Transferring Audio Deepfake Detection Capability across LanguagesZhongjie Ba, Qing Wen, Peng Cheng, Yuwei Wang, Feng Lin, Li Lu 0008, Zhenguang Liu. 2033-2044 [doi]
• NetGuard: Protecting Commercial Web APIs from Model Inversion Attacks using GAN-generated Fake SamplesXueluan Gong, Ziyao Wang, Yanjiao Chen, Qian Wang, Cong Wang, Chao Shen 0001. 2045-2053 [doi]
• Web Photo Source Identification based on Neural Enhanced Camera FingerprintFeng Qian, Sifeng He, Honghao Huang, Huanyu Ma, Xiaobo Zhang, Lei Yang. 2054-2065 [doi]
• TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic ClassificationHaozhen Zhang, Le Yu, Xi Xiao, Qing Li, Francesco Mercaldo, Xiapu Luo, Qixu Liu. 2066-2075 [doi]
• Time-manipulation Attack: Breaking Fairness against Proof of Authority AuraXinrui Zhang, Rujia Li, Qin Wang 0008, Qi Wang 0012, Sisi Duan. 2076-2086 [doi]
• Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication CostsYe Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang. 2087-2098 [doi]
• Do NFTs' Owners Really Possess their Assets? A First Look at the NFT-to-Asset Connection FragilityZiwei Wang, Jiashi Gao, Xuetao Wei. 2099-2109 [doi]
• Preserving Missing Data Distribution in Synthetic DataXinyue Wang, Hafiz Salman Asif, Jaideep Vaidya. 2110-2121 [doi]
• Ginver: Generative Model Inversion Attacks Against Collaborative InferenceYupeng Yin, Xianglong Zhang, Huanle Zhang, Feng Li, Yue Yu, Xiuzhen Cheng, Pengfei Hu. 2122-2131 [doi]
• The Hitchhiker's Guide to Facebook Web Tracking with Invisible Pixels and Click IDsPaschalis Bekos, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis. 2132-2143 [doi]
• All Your Shops Are Belong to Us: Security Weaknesses in E-commerce PlatformsRohan Pagey, Mohammad Mannan, Amr M. Youssef. 2144-2154 [doi]
• An Empirical Study of the Usage of Checksums for Web DownloadsGaël Bernard, Rémi Coudert, Bertil Chapuis, Kévin Huguenin. 2155-2165 [doi]
• Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's AppsRuoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal. 2166-2177 [doi]
• Automatic Discovery of Emerging Browser Fingerprinting TechniquesJunhua Su, Alexandros Kapravelos. 2178-2188 [doi]
• BERT4ETH: A Pre-trained Transformer for Ethereum Fraud DetectionSihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu. 2189-2197 [doi]
• Training-free Lexical Backdoor Attacks on Language ModelsYujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, Chunyang Chen. 2198-2208 [doi]
• The Benefits of Vulnerability Discovery and Bug Bounty Programs: Case Studies of Chromium and FirefoxSoodeh Atefi, Amutheezan Sivagnanam, Afiya Ayman, Jens Grossklags, Aron Laszka. 2209-2219 [doi]
• Cross-Modality Mutual Learning for Enhancing Smart Contract Vulnerability Detection on BytecodePeng Qian, Zhenguang Liu, Yifang Yin, Qinming He. 2220-2229 [doi]
• Net-track: Generic Web Tracking Detection Using Packet MetadataDongkeun Lee, Minwoo Joo, Wonjun Lee 0001. 2230-2240 [doi]
• The Chameleon on the Web: an Empirical Study of the Insidious Proactive Web DefacementsRui Zhao. 2241-2251 [doi]
• Shield: Secure Allegation Escrow System with Stronger GuaranteesNishat Koti, Varsha Bhat Kukkala, Arpita Patra, Bhavish Raj Gopal. 2252-2262 [doi]
• Unnoticeable Backdoor Attacks on Graph Neural NetworksEnyan Dai, Minhua Lin, Xiang Zhang 0001, Suhang Wang. 2263-2273 [doi]
• Bad Apples: Understanding the Centralized Security Risks in Decentralized EcosystemsKailun Yan, Jilian Zhang, Xiangyu Liu, Wenrui Diao, Shanqing Guo. 2274-2283 [doi]
• Scan Me If You Can: Understanding and Detecting Unwanted Vulnerability ScanningXigao Li, Babak Amin Azad, Amir Rahmati, Nick Nikiforakis. 2284-2294 [doi]
• The More Things Change, the More They Stay the Same: Integrity of Modern JavaScriptJohnny So, Michael Ferdman, Nick Nikiforakis. 2295-2305 [doi]
• Quantifying and Defending against Privacy Threats on Federated Knowledge Graph EmbeddingYuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin. 2306-2317 [doi]
• AppSniffer: Towards Robust Mobile App Fingerprinting Against VPNSanghak Oh, Minwook Lee, Hyunwoo Lee 0001, Elisa Bertino, Hyoungshick Kim. 2318-2328 [doi]
• RICC: Robust Collective Classification of Sybil AccountsDongwon Shin, Suyoung Lee, Sooel Son. 2329-2339 [doi]
• IRWArt: Levering Watermarking Performance for Protecting High-quality Artwork ImagesYuanjing Luo, Tongqing Zhou, Fang Liu 0002, Zhiping Cai. 2340-2348 [doi]
• Sanitizing Sentence Embeddings (and Labels) for Local Differential PrivacyMinxin Du, Xiang Yue, Sherman S. M. Chow, Huan Sun. 2349-2359 [doi]
• ZTLS: A DNS-based Approach to Zero Round Trip Delay in TLS handshakeSangwon Lim, Hyeonmin Lee, Hyunsoo Kim, Hyunwoo Lee 0001, Ted Taekyoung Kwon. 2360-2370 [doi]
• AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated LearningYanjun Zhang, Guangdong Bai, Mahawaga Arachchige Pathum Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, Surya Nepal, Minhui Xue, Long Wang, Joseph K. Liu. 2371-2382 [doi]
• Event Prediction using Case-Based Reasoning over Knowledge GraphsSola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh. 2383-2391 [doi]
• CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal Pre-trained KnowledgeLinli Yao, WeiJing Chen, Qin Jin. 2392-2401 [doi]
• Wikidata as a seed for Web ExtractionKunpeng Guo, Dennis Diefenbach, Antoine Gourru, Christophe Gravier. 2402-2411 [doi]
• Learning Long- and Short-term Representations for Temporal Knowledge Graph ReasoningMengqi Zhang, Yuwei Xia, Qiang Liu 0006, Shu Wu, Liang Wang. 2412-2422 [doi]
• MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rulesHuang Fang, Yang Liu, Yunfeng Cai, Mingming Sun. 2423-2432 [doi]
• Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge GraphZhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang 0006, Yong Dou. 2433-2443 [doi]
• Heterogeneous Federated Knowledge Graph Embedding Learning and UnlearningXiangrong Zhu, Guangyao Li, Wei Hu 0007. 2444-2454 [doi]
• Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?Anson Bastos, Kuldeep Singh 0001, Abhishek Nadgeri, Johannes Hoffart, Manish Singh, Toyotaro Suzumura. 2455-2466 [doi]
• A Single Vector Is Not Enough: Taxonomy Expansion via Box EmbeddingsSong Jiang 0002, Qiyue Yao, Qifan Wang, Yizhou Sun. 2467-2476 [doi]
• Knowledge Graph Question Answering with Ambiguous QueryLihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong. 2477-2486 [doi]
• Atrapos: Real-time Evaluation of Metapath Query WorkloadsSerafeim Chatzopoulos, Thanasis Vergoulis, Dimitrios Skoutas 0001, Theodore Dalamagas 0001, Christos Tryfonopoulos, Panagiotis Karras. 2487-2498 [doi]
• Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity AlignmentQian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li. 2499-2508 [doi]
• TaxoComplete: Self-Supervised Taxonomy Completion Leveraging Position-Enhanced Semantic MatchingInes Arous, Ljiljana Dolamic, Philippe Cudré-Mauroux. 2509-2518 [doi]
• Hierarchy-Aware Multi-Hop Question Answering over Knowledge GraphsJunnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang. 2519-2527 [doi]
• Unsupervised Entity Alignment for Temporal Knowledge GraphsXiaoze Liu, Junyang Wu, Tianyi Li 0005, Lu Chen 0001, Yunjun Gao. 2528-2538 [doi]
• Hierarchical Self-Attention Embedding for Temporal Knowledge Graph CompletionXin Ren, Luyi Bai, Qianwen Xiao, Xiangxi Meng. 2539-2547 [doi]
• KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph CompletionZhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo. 2548-2559 [doi]
• TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge GraphsZiyang Li, Yu Gu, Yulin Shen, Wei Hu, Gong Cheng 0001. 2560-2571 [doi]
• IMF: Interactive Multimodal Fusion Model for Link PredictionXinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing. 2572-2580 [doi]
• Structure Pretraining and Prompt Tuning for Knowledge Graph TransferWen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, Huajun Chen. 2581-2590 [doi]
• TEA: Time-aware Entity Alignment in Knowledge GraphsYu Liu 0053, Wen-hua, Kexuan Xin, Saeid Hosseini, Xiaofang Zhou 0001. 2591-2599 [doi]
• Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding ModelsCosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández 0002, Steffen Staab. 2600-2610 [doi]
• Knowledge Graph Completion with Counterfactual AugmentationHeng Chang, Jie Cai, Jia Li. 2611-2620 [doi]
• Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph ReasoningRuijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher. 2621-2632 [doi]
• Message Function Search for Knowledge Graph EmbeddingShimin Di, Lei Chen. 2633-2644 [doi]
• Cashing in on Contacts: Characterizing the OnlyFans EcosystemPelayo Vallina, Ignacio Castro, Gareth Tyson. 2645-2654 [doi]
• Learning Social Meta-knowledge for Nowcasting Human Mobility in DisasterRenhe Jiang, Zhaonan Wang 0001, Yudong Tao, Chuang Yang, Xuan Song 0001, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu. 2655-2665 [doi]
• Automated Content Moderation Increases Adherence to Community GuidelinesManoel Horta Ribeiro, Justin Cheng, Robert West 0001. 2666-2676 [doi]
• Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno EffectYunhao Yuan, Koustuv Saha, Barbara Keller, Erkki Tapio Isometsä, Talayeh Aledavood. 2677-2685 [doi]
• Misbehavior and Account Suspension in an Online Financial Communication PlatformTaro Tsuchiya, Alejandro Cuevas, Thomas Magelinski, Nicolas Christin. 2686-2697 [doi]
• Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine MisinformationBing He 0002, Mustaque Ahamad, Srijan Kumar. 2698-2709 [doi]
• MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome PredictionYin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen. 2710-2718 [doi]
• Large-Scale Analysis of New Employee Network DynamicsYulin Yu, Longqi Yang, Siân Lindley, Mengting Wan. 2719-2730 [doi]
• A First Look at Public Service Websites from the Affordability LensRumaisa Habib, Aimen Inam, Ayesha Ali, Ihsan Ayyub Qazi, Zafar Ayyub Qazi. 2731-2741 [doi]
• Propaganda Política Pagada: Exploring U.S. Political Facebook Ads en EspañolBruno Coelho, Tobias Lauinger, Laura Edelson, Ian Goldstein, Damon McCoy. 2742-2753 [doi]
• Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisisSergej Wildemann, Claudia Niederée, Erick Elejalde. 2754-2764 [doi]
• Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News SitesEmmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis. 2765-2776 [doi]
• Evidence of Demographic rather than Ideological Segregation in News Discussion on RedditCorrado Monti, Jacopo D'Ignazi, Michele Starnini, Gianmarco De Francisci Morales. 2777-2786 [doi]
• Online Advertising in Ukraine and Russia During the 2022 Russian InvasionChristina Yeung, Umar Iqbal, Yekaterina Tsipenyuk O'Neil, Tadayoshi Kohno, Franziska Roesner. 2787-2796 [doi]
• Understanding the Behaviors of Toxic Accounts on RedditDeepak Kumar 0006, Jeff T. Hancock, Kurt Thomas, Zakir Durumeric. 2797-2807 [doi]
• Online Reviews Are Leading Indicators of Changes in K-12 School AttributesLinsen Li, Aron Culotta, Douglas N. Harris, Nicholas Mattei. 2808-2818 [doi]
• SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare DataYongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao 0001, Yasha Wang, Bing Xie. 2819-2830 [doi]
• Longitudinal Assessment of Reference Quality on WikipediaAitolkyn Baigutanova, Jaehyeon Myung, Diego Sáez-Trumper, Ai-Jou Chou, Miriam Redi, Changwook Jung, Meeyoung Cha. 2831-2839 [doi]
• Gateway Entities in Problematic TrajectoriesXi Leslie Chen, Abhratanu Dutta, Sindhu Ernala, Stratis Ioannidis, Shankar Kalyanaraman, Israel Nir, Udi Weinsberg. 2840-2851 [doi]
• The Thin Ideology of Populist Advertising on Facebook during the 2019 EU ElectionsArthur Capozzi, Gianmarco De Francisci Morales, Yelena Mejova, Corrado Monti, André Panisson. 2852-2862 [doi]
• Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web UsersBingyan Liu, Yifeng Cai, Hongzhe Bi, Ziqi Zhang, Ding Li, Yao Guo 0001, Xiangqun Chen. 2863-2873 [doi]
• Unsupervised Anomaly Detection on Microservice Traces through Graph VAEZhe Xie, Haowen Xu, Wenxiao Chen, Wanxue Li, Huai Jiang, Liangfei Su, Hanzhang Wang, Dan Pei. 2874-2884 [doi]
• Automated WebAssembly Function Purpose Identification With Semantics-Aware AnalysisAlan Romano, Weihang Wang 0001. 2885-2894 [doi]
• FedEdge: Accelerating Edge-Assisted Federated LearningKaibin Wang, Qiang He 0001, Feifei Chen 0001, Hai Jin, Yun Yang 0001. 2895-2904 [doi]
• CausIL: Causal Graph for Instance Level Microservice DataSarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini. 2905-2915 [doi]
• SCTAP: Supporting Scenario-Centric Trigger-Action Programming based on Software-Defined Physical EnvironmentsBingkun Sun, Liwei Shen, Xin Peng 0001, Ziming Wang. 2916-2926 [doi]
• Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement LearningJunjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao 0001, Hang Dong 0004, Xiangfeng Wang, Bo Jin 0003, Jun Wang, Si-qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang 0001. 2927-2936 [doi]
• CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric DataQingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li 0005, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei. 2937-2947 [doi]
• Visual-Aware Testing and Debugging for Web Performance OptimizationXinlei Yang, Wei Liu, Hao Lin, Zhenhua Li 0001, Feng Qian, Xianlong Wang, Yunhao Liu 0001, Tianyin Xu. 2948-2959 [doi]
• Demystifying Mobile Extended Reality in Web Browsers: How Far Can We Go?Weichen Bi, Yun Ma 0002, Deyu Tian, Qi Yang, Mingtao Zhang, Xiang Jing. 2960-2969 [doi]
• Look Deep into the Microservice System Anomaly through Very Sparse LogsXinrui Jiang, Yicheng Pan 0002, Meng Ma, Ping Wang 0003. 2970-2978 [doi]
• FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model ArchitecturesKaibin Wang, Qiang He 0001, Feifei Chen 0001, Chunyang Chen, Faliang Huang, Hai Jin, Yun Yang 0001. 2979-2990 [doi]
• DeeProphet: Improving HTTP Adaptive Streaming for Low Latency Live Video by Meticulous Bandwidth PredictionKefan Chen, Bo Wang, Wufan Wang, Xiaoyu Li, Fengyuan Ren. 2991-3001 [doi]
• Is IPFS Ready for Decentralized Video Streaming?Zhengyu Wu, ChengHao Ryan Yang, Santiago Vargas, Aruna Balasubramanian. 3002-3010 [doi]
• SISSI: An Architecture for Semantic Interoperable Self-Sovereign Identity-based Access Control on the WebChristoph H.-J. Braun, Vasil Papanchev, Tobias Käfer. 3011-3021 [doi]
• Analyzing the Communication Clusters in Datacenters✱Klaus-Tycho Foerster, Thibault Marette, Stefan Neumann 0003, Claudia Plant, Ylli Sadikaj, Stefan Schmid 0001, Yllka Velaj. 3022-3032 [doi]
• PipeEdge: A Trusted Pipelining Collaborative Edge Training based on BlockchainLiang Yuan, Qiang He 0001, Feifei Chen 0001, Ruihan Dou, Hai Jin 0001, Yun Yang 0001. 3033-3043 [doi]
• To Store or Not? Online Data Selection for Federated Learning with Limited StorageChen Gong, Zhenzhe Zheng, Fan Wu 0006, Yunfeng Shao, Bingshuai Li, Guihai Chen. 3044-3055 [doi]
• ELASTIC: Edge Workload Forecasting based on Collaborative Cloud-Edge Deep LearningYanan Li, Haitao Yuan, Zhe Fu, Xiao Ma, Mengwei Xu, Shangguang Wang. 3056-3066 [doi]
• DDPC: Automated Data-Driven Power-Performance Controller Design on-the-fly for Latency-sensitive Web ServicesMehmet Savasci, Ahmed Ali-Eldin, Johan Eker, Anders Robertsson, Prashant J. Shenoy. 3067-3076 [doi]
• DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model GeneralizationZheqi Lv, Wenqiao Zhang, Shengyu Zhang 0001, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen 0001, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu 0001. 3077-3085 [doi]
• Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention NetworksYue Hu, Yuhang Zhang, Yanbing Wang, Daniel B. Work. 3086-3097 [doi]
• GROUP: An End-to-end Multi-step-ahead Workload Prediction Approach Focusing on Workload Group BehaviorBinbin Feng, Zhijun Ding. 3098-3108 [doi]
• Will Admins Cope? Decentralized Moderation in the FediverseIshaku Hassan Anaobi, Aravindh Raman, Ignacio Castro, Haris Bin Zia, Damilola Ibosiola, Gareth Tyson. 3109-3120 [doi]
• BiSR: Bidirectionally Optimized Super-Resolution for Mobile Video StreamingQian Yu, Qing Li, Rui He, Gareth Tyson, Wanxin Shi, Jianhui Lv, Zhenhui Yuan, Peng Zhang, Yulong Lan, Zhicheng Li. 3121-3131 [doi]
• Are Mobile Advertisements in Compliance with App's Age Group?Yanjie Zhao, Tianming Liu, Haoyu Wang, Yepang Liu, John C. Grundy, Li Li 0029. 3132-3141 [doi]
• EdgeMove: Pipelining Device-Edge Model Training for Mobile IntelligenceZeqian Dong, Qiang He 0001, Feifei Chen 0001, Hai Jin, Tao Gu, Yun Yang 0001. 3142-3153 [doi]
• HTTP Steady Connections for Robust Web AccelerationSunjae Kim, Wonjun Lee. 3154-3163 [doi]
• Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming SpaceYankai Chen 0001, Yixiang Fang, Yifei Zhang, Irwin King. 3164-3172 [doi]
• Beyond Two-Tower: Attribute Guided Representation Learning for Candidate RetrievalHongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li. 3173-3181 [doi]
• Improving Content Retrievability in Search with Controllable Query GenerationGustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard. 3182-3192 [doi]
• Learning Denoised and Interpretable Session Representation for Conversational SearchKelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao. 3193-3202 [doi]
• LED: Lexicon-Enlightened Dense Retriever for Large-Scale RetrievalKai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang. 3203-3213 [doi]
• RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender SystemsJiahong Zhou, Shunhui Mao, Guoliang Yang, Bo Tang, Qianlong Xie, Lebin Lin, Xingxing Wang, Dong Wang. 3214-3224 [doi]
• FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor SearchPatrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh. 3225-3235 [doi]
• A Passage-Level Reading Behavior Model for Mobile SearchZhijing Wu 0001, Jiaxin Mao, Kedi Xu, Dandan Song, Heyan Huang. 3236-3246 [doi]
• Learning To Rank Resources with GNNUlugbek Ergashev, Eduard C. Dragut, Weiyi Meng. 3247-3256 [doi]
• Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum CostZhongjie Duan, Chengyu Wang 0001, Cen Chen, Wenmeng Zhou, Jun Huang 0007, Weining Qian. 3257-3267 [doi]
• CgAT: Center-Guided Adversarial Training for Deep Hashing-Based RetrievalXunguang Wang, Yiqun Lin, Xiaomeng Li 0001. 3268-3277 [doi]
• Algorithmic Vibe in Information RetrievalAli Montazeralghaem, Nick Craswell, Ryen W. White, Ahmed Hassan Awadallah, Byungki Byun. 3278-3287 [doi]
• Zero-shot Clarifying Question Generation for Conversational SearchZhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai. 3288-3298 [doi]
• PROD: Progressive Distillation for Dense RetrievalZhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao 0007, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan. 3299-3308 [doi]
• FANS: Fast Non-Autoregressive Sequence Generation for Item List ContinuationQijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu 0003. 3309-3318 [doi]
• DANCE: Learning A Domain Adaptive Framework for Deep HashingHaixin Wang 0003, Jinan Sun, Xiang Wei, Shikun Zhang, Chong Chen 0002, Xian-Sheng Hua 0001, Xiao Luo 0001. 3319-3330 [doi]
• Geographic Information Retrieval Using Wikipedia ArticlesAmir Krause, Sara Cohen. 3331-3341 [doi]
• Everything Evolves in Personalized PageRankZihao Li, Dongqi Fu, Jingrui He. 3342-3352 [doi]
• Differentiable Optimized Product Quantization and BeyondZepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen. 3353-3363 [doi]
• Incorporating Explicit Subtopics in Personalized SearchShuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou 0002, Ji-Rong Wen. 3364-3374 [doi]
• Optimizing Guided Traversal for Fast Learned Sparse RetrievalYifan Qiao, Yingrui Yang, Haixin Lin, Tao Yang 0009. 3375-3385 [doi]
• Optimizing Feature Set for Click-Through Rate PredictionFuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He 0001, Xue Liu 0001. 3386-3395 [doi]
• A Reference-Dependent Model for Web Search Evaluation: Understanding and Measuring the Experience of Boundedly Rational UsersNuo Chen, Jiqun Liu, Tetsuya Sakai. 3396-3405 [doi]
• Filtered-DiskANN: Graph Algorithms for Approximate Nearest Neighbor Search with FiltersSiddharth Gollapudi, Neel Karia, Varun Sivashankar, Ravishankar Krishnaswamy, Nikit Begwani, Swapnil Raz, Yiyong Lin, Yin Zhang, Neelam Mahapatro, Premkumar Srinivasan, Amit Singh, Harsha Vardhan Simhadri. 3406-3416 [doi]
• Ad Auction Design with Coupon-Dependent Conversion Rate in the Auto-bidding WorldBonan Ni, Xun Wang, Qi Zhang, Pingzhong Tang, Zhourong Chen, Tianjiu Yin, Liangni Lu, Xiaobing Liu, Kewu Sun, Zhe Ma. 3417-3427 [doi]
• Autobidding Auctions in the Presence of User CostsYuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo. 3428-3435 [doi]
• Multitask Peer Prediction With Task-dependent StrategiesYichi Zhang, Grant Schoenebeck. 3436-3446 [doi]
• Stability and Efficiency of Personalised Cultural MarketsHaiqing Zhu, Yun Kuen Cheung, Lexing Xie. 3447-3455 [doi]
• Learning with Exposure Constraints in Recommendation SystemsOmer Ben-Porat, Rotem Torkan. 3456-3466 [doi]
• High-Effort Crowds: Limited Liability via TournamentsYichi Zhang, Grant Schoenebeck. 3467-3477 [doi]
• Auctions without commitment in the auto-bidding worldAndrés Perlroth, Aranyak Mehta. 3478-3488 [doi]
• Learning to Bid in Contextual First Price Auctions✱Ashwinkumar Badanidiyuru, Zhe Feng 0004, Guru Guruganesh. 3489-3497 [doi]
• Online resource allocation in Markov ChainsJianhao Jia, Hao Li, Kai Liu, Ziqi Liu, Jun Zhou, Nikolai Gravin, Zhihao Gavin Tang. 3498-3507 [doi]
• Worst-Case Welfare of Item Pricing in the Tollbooth ProblemZihan Tan, Yifeng Teng, Mingfei Zhao. 3508-3518 [doi]
• Dynamic Interventions for Networked ContagionsMarios Papachristou, Siddhartha Banerjee, Jon M. Kleinberg. 3519-3529 [doi]
• Randomized Pricing with Deferred Acceptance for Revenue Maximization with Submodular ObjectivesHe Huang, Kai Han, Shuang Cui, Jing Tang 0004. 3530-3540 [doi]
• Eligibility Mechanisms: Auctions Meet Information RetrievalGagan Goel, Renato Paes Leme, Jon Schneider, David Thompson, Hanrui Zhang. 3541-3549 [doi]
• Online Bidding Algorithms for Return-on-Spend Constrained Advertisers✱Zhe Feng, Swati Padmanabhan, Di Wang. 3550-3560 [doi]
• Efficiency of Non-Truthful Auctions in Auto-bidding: The Power of RandomizationChristopher Liaw, Aranyak Mehta, Andrés Perlroth. 3561-3571 [doi]
• Fairness-aware Guaranteed Display Advertising Allocation under Traffic Cost ConstraintLiang Dai, Zhonglin Zu, Hao Wu, Liang Wang, Bo Zheng. 3572-3580 [doi]
• Is your digital neighbor a reliable investment advisor?Daisuke Kawai, Alejandro Cuevas, Bryan R. Routledge, Kyle Soska, Ariel Zetlin-Jones, Nicolas Christin. 3581-3591 [doi]
• Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based StudyXintong Wang, Gary Qiurui Ma, Alon Eden, Clara Li, Alexander Trott, Stephan Zheng, David C. Parkes. 3592-3602 [doi]
• Near-Optimal Experimental Design Under the Budget Constraint in Online PlatformsYongkang Guo, Yuan Yuan 0016, Jinshan Zhang 0001, Yuqing Kong, Zhihua Zhu, Zheng Cai. 3603-3613 [doi]
• Impartial Selection with Prior InformationIoannis Caragiannis, George Christodoulou 0001, Nicos Protopapas. 3614-3624 [doi]
• Maximizing Submodular Functions for Recommendation in the Presence of BiasesAnay Mehrotra, Nisheeth K. Vishnoi. 3625-3636 [doi]
• Do Language Models Plagiarize?Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee 0001. 3637-3647 [doi]
• Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' PerspectiveJessie J. Smith, Lex Beattie, Henriette Cramer. 3648-3659 [doi]
• Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot DetectionChris Hays, Zachary Schutzman, Manish Raghavan, Erin Walk, Philipp Zimmer. 3660-3669 [doi]
• A Method to Assess and Explain Disparate Impact in Online RetailingRafael Becerril-Arreola. 3670-3679 [doi]
• Path-specific Causal Fair Prediction via Auxiliary Graph Structure LearningLiuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao. 3680-3688 [doi]
• Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity DetectionSoumyajit Gupta, Sooyong Lee, Maria De-Arteaga, Matthew Lease. 3689-3700 [doi]
• P-MMF: Provider Max-min Fairness Re-ranking in Recommender SystemChen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong. 3701-3711 [doi]
• Towards Explainable Collaborative Filtering with Taste Clusters LearningYuntao Du 0002, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie. 3712-3722 [doi]
• Fairly Adaptive Negative Sampling for RecommendationsXiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li. 3723-3733 [doi]
• HateProof: Are Hateful Meme Detection Systems really Robust?Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee 0001. 3734-3743 [doi]
• Towards Fair Allocation in Social Commerce PlatformsAnjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah. 3744-3754 [doi]
• Fairness-Aware Clique-Preserving Spectral Clustering of Temporal GraphsDongqi Fu, Dawei Zhou 0003, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He. 3755-3765 [doi]
• DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervisionSungwon Han 0001, SeungEon Lee 0001, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie 0001, Meeyoung Cha. 3766-3774 [doi]
• Fairness in model-sharing gamesKate Donahue, Jon M. Kleinberg. 3775-3783 [doi]
• PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link PredictionShichang Zhang, Jiani Zhang 0003, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun. 3784-3793 [doi]
• Combining Worker Factors for Heterogeneous Crowd Task AssignmentSenuri Wijenayake, Danula Hettiachchi, Jorge Gonçalves 0001. 3794-3805 [doi]
• Hidden Indicators of Collective Intelligence in CrowdfundingEmoke-Ágnes Horvát, Henry Kudzanai Dambanemuya, Jayaram Uparna, Brian Uzzi. 3806-3815 [doi]
• A Dataset on Malicious Paper Bidding in Peer ReviewSteven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang. 3816-3826 [doi]
• Multiview Representation Learning from Crowdsourced Triplet ComparisonsXiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima. 3827-3836 [doi]
• HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at ScaleSepideh Mesbah, Ines Arous, Jie Yang 0028, Alessandro Bozzon. 3837-3848 [doi]
• Sedition Hunters: A Quantitative Study of the Crowdsourced Investigation into the 2021 U.S. Capitol AttackTianjiao Yu, Sukrit Venkatagiri, Ismini Lourentzou, Kurt Luther. 3849-3858 [doi]
• Human-in-the-loop Regular Expression Extraction for Single Column Format InconsistencyShaochen Yu, Lei Han 0003, Marta Indulska, Shazia W. Sadiq, Gianluca Demartini. 3859-3867 [doi]
• Identifying Creative Harmful Memes via Prompt based ApproachJunhui Ji, Wei Ren, Usman Naseem. 3868-3872 [doi]
• The Harmonic Memory: a Knowledge Graph of harmonic patterns as a trustworthy framework for computational creativityJacopo de Berardinis, Albert Meroño-Peñuela, Andrea Poltronieri, Valentina Presutti. 3873-3882 [doi]
• SA-Fusion: Multimodal Fusion Approach for Web-based Human-Computer Interaction in the WildXingyu Liu, Pengfei Ren, Yuchen Chen, Cong Liu, Jing Wang, Haifeng Sun 0001, Qi Qi 0001, Jingyu Wang 0001. 3883-3891 [doi]
• A Prompt Log Analysis of Text-to-Image Generation SystemsYutong Xie, Zhaoying Pan, Jinge Ma, Luo Jie, Qiaozhu Mei. 3892-3902 [doi]
• CAM: A Large Language Model-based Creative Analogy Mining FrameworkBhavya, Jinjun Xiong, ChengXiang Zhai. 3903-3914 [doi]
• Tangible Web: An Interactive Immersion Virtual Reality Creativity System that Travels Across RealitySimin Yang, Ze Gao, Reza Hadi Mogavi, Pan Hui 0001, Tristan Braud. 3915-3922 [doi]
• Coherent Topic Modeling for Creative Multimodal Data on Social MediaJunaid Rashid, Jungeun Kim, Usman Naseem. 3923-3927 [doi]
• Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health SurveillanceOlanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Yang Long. 3928-3936 [doi]
• Facility Relocation Search For Good: When Facility Exposure Meets User ConvenienceHui Luo, Zhifeng Bao, J. Shane Culpepper, Mingzhao Li 0001, Yanchang Zhao. 3937-3947 [doi]
• A Multi-task Model for Emotion and Offensive Aided Stance Detection of Climate Change TweetsApoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl. 3948-3958 [doi]
• Learning Faithful Attention for Interpretable Classification of Crisis-Related Microblogs under Constrained Human BudgetThi-Huyen Nguyen, Koustav Rudra. 3959-3967 [doi]
• Exploring Social Media for Early Detection of Depression in COVID-19 PatientsJiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng 0001, Jie Yang. 3968-3977 [doi]
• Attacking Fake News Detectors via Manipulating News Social EngagementHaoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun 0001, Philip S. Yu, Kai Shu. 3978-3986 [doi]
• Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce HospitalsRuiqing Ding, Fangjie Rong, Xiao Han 0001, Leye Wang. 3987-3993 [doi]
• ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive LearningRuohan Zong, Yang Zhang, Lanyu Shang, Dong Wang. 3994-4003 [doi]
• CaML: Carbon Footprinting of Household Products with Zero-Shot Semantic Text SimilarityBharathan Balaji, Venkata Sai Gargeya Vunnava, Geoffrey Guest, Jared Kramer. 4004-4014 [doi]
• Identifying Checkworthy CURE Claims on TwitterSujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng. 4015-4019 [doi]
• MSQ-BioBERT: Ambiguity Resolution to Enhance BioBERT Medical Question-AnsweringMuzhe Guo, Muhao Guo, Edward T. Dougherty, Fang Jin. 4020-4028 [doi]
• Interpreting wealth distribution via poverty map inference using multimodal dataLisette Espín-Noboa, János Kertész, Márton Karsai. 4029-4040 [doi]
• Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender SystemZhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang. 4041-4049 [doi]
• CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster ResponseYang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang. 4050-4059 [doi]
• The Impact of Covid-19 on Online Discussions: the Case Study of the Sanctioned Suicide ForumElisa Sartori, Luca Pajola, Giovanni Da San Martino, Mauro Conti. 4060-4064 [doi]
• EDNet: Attention-Based Multimodal Representation for Classification of Twitter Users Related to Eating DisordersMohammad Abuhassan, Tarique Anwar, Chengfei Liu, Hannah K. Jarman, Matthew Fuller-Tyszkiewicz. 4065-4074 [doi]
• MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation LearningNianzu Yang, Kaipeng Zeng, Qitian Wu, Junchi Yan. 4075-4085 [doi]
• Detecting and Limiting Negative User Experiences in Social Media PlatformsLluís Garcia Pueyo, Vinodh Kumar Sunkara, Prathyusha Senthil Kumar, Mohit Diwan, Qian Ge, Behrang Javaherian, Vasilis Verroios. 4086-4094 [doi]
• Learning like human annotators: Cyberbullying detection in lengthy social media sessionsPeiling Yi, Arkaitz Zubiaga. 4095-4103 [doi]
• On Detecting Policy-Related Political Ads: An Exploratory Analysis of Meta Ads in 2022 French ElectionVera Sosnovik, Romaissa Kessi, Maximin Coavoux, Oana Goga. 4104-4114 [doi]
• Graph-based Village Level Poverty IdentificationJing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu. 4115-4119 [doi]
• Mapping Flood Exposure, Damage, and Population Needs Using Remote and Social Sensing: A Case Study of 2022 Pakistan FloodsZainab Akhtar, Umair Qazi, Rizwan Sadiq, Aya El-Sakka, Muhammad Sajjad, Ferda Ofli, Muhammad Imran 0002. 4120-4128 [doi]
• Web Information Extraction for Social Good: Food Pantry Answering As an ExampleHuan-Yuan Chen, Hong Yu. 4129-4133 [doi]
• Moral Narratives Around the Vaccination Debate on FacebookMariano Gastón Beiró, Jacopo D'Ignazi, Victoria Perez Bustos, Maria Florencia Prado, Kyriaki Kalimeri. 4134-4141 [doi]
• Gender Pay Gap in Sports on a Fan-Request Celebrity Video SiteNazanin Sabri, Stephen Reysen, Ingmar Weber. 4142-4149 [doi]
• Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic PredictionYu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li. 4150-4160 [doi]
• Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health RisksNikita Gautam, David Shumway, Megan Kowalcyk, Sarthak Khanal, Doina Caragea, Cornelia Caragea, Hande Mcginty, Samuel Dorevitch. 4161-4171 [doi]
• Believability and Harmfulness Shape the Virality of Misleading Social Media PostsChiara Patricia Drolsbach, Nicolas Pröllochs. 4172-4177 [doi]
• Enhancing Deep Knowledge Tracing with Auxiliary TasksZitao Liu 0001, Qiongqiong Liu, Jiahao Chen 0006, Shuyan Huang, Boyu Gao 0003, Weiqi Luo 0002, Jian Weng 0001. 4178-4187 [doi]
• Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration NetworksChung-ju Huang, Leye Wang, Xiao Han 0001. 4188-4199 [doi]
• Learning to Simulate Crowd Trajectories with Graph NetworksHongzhi Shi, Quanming Yao, Yong Li. 4200-4209 [doi]