Abstract is missing.
- Search Engines: From the Lab to the Engine Room, and Back: Keynote TalkPrabhakar Raghavan. 1 [doi]
- How the Web Will Shape the Hybrid Work Era: Keynote TalkJaime Teevan. 2 [doi]
- Responsible AI: From Principles To Action: Keynote TalkVirginia Dignum. 3 [doi]
- Regulatory Instruments for Fair Personalized PricingRenzhe Xu, Xingxuan Zhang, Peng Cui 0001, Bo Li 0064, Zheyan Shen, Jiazheng Xu. 4-15 [doi]
- Allocating Stimulus Checks in Times of CrisisMarios Papachristou, Jon M. Kleinberg. 16-26 [doi]
- Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning FrameworkXiaoxiao Xu, Chen Yang 0018, Qian Yu, Zhiwei Fang, Jiaxing Wang, Chaosheng Fan, Yang He, Changping Peng, Zhangang Lin, JingPing Shao. 27-35 [doi]
- BONUS! Maximizing SurpriseZhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu. 36-46 [doi]
- Calibrated Click-Through AuctionsDirk Bergemann, Paul Dütting, Renato Paes Leme, Song Zuo. 47-57 [doi]
- Price Manipulability in First-Price AuctionsJohannes Brustle, Paul Dütting, Balasubramanian Sivan. 58-67 [doi]
- Equilibria in Auctions with Ad TypesHadi Elzayn, Riccardo Colini-Baldeschi, Brian Lan, Okke Schrijvers. 68-78 [doi]
- Optimal Collaterals in Multi-Enterprise Investment NetworksMoshe Babaioff, Yoav Kolumbus, Eyal Winter. 79-89 [doi]
- On Designing a Two-stage Auction for Online AdvertisingYiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu. 90-99 [doi]
- Auctions between Regret-Minimizing AgentsYoav Kolumbus, Noam Nisan. 100-111 [doi]
- Multi-Granularity Residual Learning with Confidence Estimation for Time Series PredictionMin Hou, Chang Xu 0008, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian 0002. 112-121 [doi]
- Almost (Weighted) Proportional Allocations for Indivisible Chores✱✱Bo Li 0037, Yingkai Li, Xiaowei Wu 0001. 122-131 [doi]
- Beyond Customer Lifetime Valuation: Measuring the Value of Acquisition and Retention for Subscription ServicesHamidreza Badri, Allen Tran. 132-140 [doi]
- Nash Convergence of Mean-Based Learning Algorithms in First Price AuctionsXiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng. 141-150 [doi]
- Truthful Online Scheduling of Cloud Workloads under UncertaintyMoshe Babaioff, Ronny Lempel, Brendan Lucier, Ishai Menache, Aleksandrs Slivkins, Sam Chiu-wai Wong. 151-161 [doi]
- The Parity Ray Regularizer for Pacing in Auction MarketsAndrea Celli, Riccardo Colini-Baldeschi, Christian Kroer, Eric Sodomka. 162-172 [doi]
- Auction Design in an Auto-bidding Setting: Randomization Improves Efficiency Beyond VCGAranyak Mehta. 173-181 [doi]
- Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for PlatformsHannah Li, Geng Zhao, Ramesh Johari, Gabriel Y. Weintraub. 182-192 [doi]
- Learning Explicit User Interest Boundary for RecommendationJianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao. 193-202 [doi]
- Modeling User Behavior with Graph Convolution for Personalized Product SearchLu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu 0003, Xiaotong Zhang 0003, FuYu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang. 203-212 [doi]
- Global or Local: Constructing Personalized Click Models for Web SearchJunqi Zhang, Yiqun Liu 0001, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma, Qi Tian. 213-223 [doi]
- A Model-Agnostic Causal Learning Framework for Recommendation using Search DataZihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen. 224-233 [doi]
- CoSimHeat: An Effective Heat Kernel Similarity Measure Based on Billion-Scale Network Topology✱Weiren Yu, Jian Yang, Maoyin Zhang, Di Wu 0002. 234-245 [doi]
- Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search AdsKaifu Zheng, Lu Wang, Yu Li, Xusong Chen, Hu Liu, Jing Lu, Xiwei Zhao, Changping Peng, Zhangang Lin, JingPing Shao. 246-255 [doi]
- IHGNN: Interactive Hypergraph Neural Network for Personalized Product SearchDian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, FuYu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He 0001. 256-265 [doi]
- Efficient Neural Ranking using Forward IndexesJurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand. 266-276 [doi]
- A Gain-Tuning Dynamic Negative Sampler for RecommendationQiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou. 277-285 [doi]
- Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based RetrievalShitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie 0001. 286-296 [doi]
- FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit FeedbackJie Li, Yongli Ren, Ke Deng. 297-307 [doi]
- Efficient and Effective Similarity Search over Bipartite GraphsRenchi Yang. 308-318 [doi]
- Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance JudgmentsKevin Roitero, Alessandro Checco, Stefano Mizzaro, Gianluca Demartini. 319-327 [doi]
- Optimizing Rankings for Recommendation in Matching MarketsYi Su, Magd Bayoumi, Thorsten Joachims. 328-338 [doi]
- Socialformer: Social Network Inspired Long Document Modeling for Document RankingYujia Zhou 0002, Zhicheng Dou, Huaying Yuan, Zhengyi Ma. 339-347 [doi]
- PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start RecommendationHaoyu Pang, Fausto Giunchiglia, XiMing Li, Renchu Guan, Xiaoyue Feng. 348-359 [doi]
- A Category-aware Multi-interest Model for Personalized Product SearchJiongnan Liu, Zhicheng Dou, Qiannan Zhu, Ji-Rong Wen. 360-368 [doi]
- Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label CorrectionYu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, GuoJun Liu, Jian Xu, Bo Zheng. 369-379 [doi]
- Towards a Better Understanding of Human Reading Comprehension with Brain SignalsZiyi Ye, Xiaohui Xie, Yiqun Liu 0001, Zhihong Wang, Xuesong Chen, Min Zhang 0006, Shaoping Ma. 380-391 [doi]
- ParClick: A Scalable Algorithm for EM-based Click ModelsPooya Khandel, Ilya Markov, Andrew Yates, Ana Lucia Varbanescu. 392-400 [doi]
- Cross DQN: Cross Deep Q Network for Ads Allocation in FeedGuogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang 0011, Xingxing Wang, Dong Wang. 401-409 [doi]
- CausPref: Causal Preference Learning for Out-of-Distribution RecommendationYue He 0001, Zimu Wang, Peng Cui 0001, Hao Zou 0001, Yafeng Zhang, Qiang Cui, Yong Jiang 0001. 410-421 [doi]
- Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced RecommendationQijie Shen, Hong Wen, Wanjie Tao, Jing Zhang, FuYu Lv, Zulong Chen, Zhao Li. 422-430 [doi]
- Learning Neural Ranking Models Online from Implicit User FeedbackYiling Jia, Hongning Wang. 431-441 [doi]
- StruBERT: Structure-aware BERT for Table Search and MatchingMohamed Trabelsi, ZhiYu Chen, Shuo Zhang 0006, Brian D. Davison 0001, Jeff Heflin. 442-451 [doi]
- Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking TreesPhilip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon. 452-461 [doi]
- RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary GraphRuijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher. 462-472 [doi]
- Learning Probabilistic Box Embeddings for Effective and Efficient RankingLang Mei, Jiaxin Mao, Gang Guo, Ji-Rong Wen. 473-482 [doi]
- Knowledge-aware Conversational Preference Elicitation with Bandit FeedbackCanzhe Zhao, Tong Yu, Zhihui Xie, Shuai Li. 483-492 [doi]
- A Multi-task Learning Framework for Product Ranking with BERTXuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, Yi Fang 0008. 493-501 [doi]
- Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-TuningEuna Jung, Jaekeol Choi, Wonjong Rhee. 502-511 [doi]
- Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation AttackShahroz Tariq, Sowon Jeon, Simon S. Woo. 512-523 [doi]
- Game of Hide-and-Seek: Exposing Hidden Interfaces in Embedded Web Applications of IoT DevicesWei Xie, Jiongyi Chen, Zhenhua Wang, Chao Feng, Enze Wang, Yifei Gao, Baosheng Wang, Kai Lu. 524-532 [doi]
- Reproducibility and Replicability of Web Measurement StudiesNurullah Demir, Matteo Große-Kampmann, Tobias Urban, Christian Wressnegger, Thorsten Holz, Norbert Pohlmann. 533-544 [doi]
- Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement LearningThai Le, Long Tran-Thanh, Dongwon Lee 0001. 545-554 [doi]
- A View into YouTube View FraudDhruv Kuchhal, Frank Li 0001. 555-563 [doi]
- Et tu, Brute? Privacy Analysis of Government Websites and Mobile AppsNayanamana Samarasinghe, Aashish Adhikari, Mohammad Mannan, Amr M. Youssef. 564-575 [doi]
- Investigating Advertisers' Domain-changing Behaviors and Their Impacts on Ad-blocker Filter ListsSu-Chin Lin, Kai-Hsiang Chou, Yen Chen, Hsu-Chun Hsiao, Darion Cassel, Lujo Bauer, Limin Jia 0001. 576-587 [doi]
- Verba Volant, Scripta Volant: Understanding Post-publication Title Changes in News OutletsXingzhi Guo, Brian Kondracki, Nick Nikiforakis, Steven Skiena. 588-598 [doi]
- Compressive Sensing Approaches for Sparse Distribution Estimation Under Local PrivacyZhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang. 599-609 [doi]
- MemStream: Memory-Based Streaming Anomaly DetectionSiddharth Bhatia 0001, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi. 610-621 [doi]
- Federated Unlearning via Class-Discriminative PruningJunxiao Wang, Song Guo 0001, Xin Xie, Heng Qi. 622-632 [doi]
- ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic ClassificationXinjie Lin, Gang Xiong, Gaopeng Gou, Zhen Li, Junzheng Shi, Jing Yu. 633-642 [doi]
- Attention-Based Vandalism Detection in OpenStreetMapNicolas Tempelmeier, Elena Demidova. 643-651 [doi]
- CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data PoisoningZhensu Sun, Xiaoning Du 0001, Fu Song, Mingze Ni, Li Li 0029. 652-660 [doi]
- TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams DetectionSijia Li, Gaopeng Gou, Chang Liu, Chengshang Hou, Zhenzhen Li, Gang Xiong. 661-669 [doi]
- Measuring Alexa Skill Privacy Practices across Three YearsJide S. Edu, Xavier Ferrer Aran, Jose M. Such, Guillermo Suarez-Tangil. 670-680 [doi]
- Revisiting Email Forwarding Security under the Authenticated Received Chain ProtocolChenkai Wang, Gang Wang 0011. 681-689 [doi]
- ALLIE: Active Learning on Large-scale Imbalanced GraphsLimeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao 0001, Pallav Agrawal, Karthik Subbian, Dongwon Lee. 690-698 [doi]
- Beyond Bot Detection: Combating Fraudulent Online Survey Takers✱Ziyi Zhang, Shuofei Zhu, Jaron Mink, Aiping Xiong, Linhai Song, Gang Wang. 699-709 [doi]
- Measuring the Privacy vs. Compatibility Trade-off in Preventing Third-Party Stateful TrackingJordan Jueckstock, Peter Snyder, Shaown Sarker, Alexandros Kapravelos, Benjamin Livshits. 710-720 [doi]
- DP-VAE: Human-Readable Text Anonymization for Online Reviews with Differentially Private Variational AutoencodersBenjamin Weggenmann, Valentin Rublack, Michael Andrejczuk, Justus Mattern, Florian Kerschbaum. 721-731 [doi]
- An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated LearningXue Yang 0003, Yan Feng, Weijun Fang, Jun Shao, Xiaohu Tang, Shu-Tao Xia, Rongxing Lu. 732-742 [doi]
- Link: Black-Box Detection of Cross-Site Scripting Vulnerabilities Using Reinforcement LearningSoyoung Lee, SeongIl Wi, Sooel Son. 743-754 [doi]
- HiddenCPG: Large-Scale Vulnerable Clone Detection Using Subgraph Isomorphism of Code Property GraphsSeongIl Wi, Sijae Woo, Joyce Jiyoung Whang, Sooel Son. 755-766 [doi]
- Understanding the Practice of Security Patch Management across Multiple Branches in OSS ProjectsXin Tan, Yuan Zhang, Jiajun Cao, Kun Sun 0001, Mi Zhang, Min Yang 0002. 767-777 [doi]
- Ontology-enhanced Prompt-tuning for Few-shot LearningHongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen. 778-787 [doi]
- Time-aware Entity Alignment using Temporal Relational AttentionChengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann 0001. 788-797 [doi]
- Rethinking Graph Convolutional Networks in Knowledge Graph CompletionZhanqiu Zhang, Jie Wang 0005, Jieping Ye, Feng Wu. 798-807 [doi]
- Creating Signature-Based Views for Description Logic Ontologies with Transitivity and Qualified Number RestrictionsYue Xiang, Xuan Wu, Chang Lu, Yizheng Zhao. 808-817 [doi]
- EvoLearner: Learning Description Logics with Evolutionary AlgorithmsStefan Heindorf, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, Axel-Cyrille Ngonga Ngomo. 818-828 [doi]
- Uncertainty-aware Pseudo Label Refinery for Entity AlignmentJia Li, Dandan Song. 829-837 [doi]
- Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph EmbeddingsKai Wang, Yu Liu 0035, Quan Z. Sheng. 838-849 [doi]
- EventBERT: A Pre-Trained Model for Event Correlation ReasoningYucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang. 850-859 [doi]
- SelfKG: Self-Supervised Entity Alignment in Knowledge GraphsXiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang 0001. 860-870 [doi]
- Unified Question Generation with Continual Lifelong LearningWei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, LiZhen Cui. 871-881 [doi]
- What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image RecognitionShahin Sharifi Noorian, Sihang Qiu, Ujwal Gadiraju, Jie Yang 0028, Alessandro Bozzon. 882-892 [doi]
- Enhancing Knowledge Bases with Quantity FactsVinh Thinh Ho, Daria Stepanova 0001, Dragan Milchevski, Jannik Strötgen, Gerhard Weikum. 893-901 [doi]
- Translating Place-Related Questions to GeoSPARQL QueriesEhsan Hamzei, Martin Tomko, Stephan Winter 0001. 902-911 [doi]
- Knowledge Graph Reasoning with Relational DigraphYongqi Zhang, Quanming Yao. 912-924 [doi]
- TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic RepresentationsMinhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han 0001. 925-934 [doi]
- Conditional Generation Net for Medication RecommendationRui Wu, Zhaopeng Qiu, Jiacheng Jiang, Guilin Qi, Xian Wu. 935-945 [doi]
- Path Language Modeling over Knowledge Graphsfor Explainable RecommendationShijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang. 946-955 [doi]
- Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy DataJiaCheng Huang, Yao Zhao, Wei Hu 0007, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren. 956-965 [doi]
- What's in an Index: Extracting Domain-specific Knowledge Graphs from TextbooksIsaac Alpizar Chacon, Sergey A. Sosnovsky. 966-976 [doi]
- Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs?Aleksandr Perevalov, Andreas Both, Dennis Diefenbach, Axel-Cyrille Ngonga Ngomo. 977-986 [doi]
- AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal ExplanationsSk Mainul Islam, Sourangshu Bhattacharya. 987-998 [doi]
- Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing ModelsWeiqi Sun, Haidar Khan, Nicolas Guenon des Mesnards, Melanie Rubino, Konstantine Arkoudas. 999-1007 [doi]
- QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic RelationsSuyuchen Wang, Ruihui Zhao, Yefeng Zheng 0001, Bang Liu. 1008-1017 [doi]
- Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual ReasoningJuntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li 0003, Yongfeng Zhang. 1018-1027 [doi]
- Exploring Edge Disentanglement for Node ClassificationTianxiang Zhao, Xiang Zhang, Suhang Wang. 1028-1036 [doi]
- Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS MetathesaurusVinh Nguyen, Hong Yung Yip, Goonmeet Bajaj, Thilini Wijesiriwardene, Vishesh Javangula, Srinivasan Parthasarathy 0001, Amit P. Sheth, Olivier Bodenreider. 1037-1046 [doi]
- Federated SPARQL Query Processing over Heterogeneous Linked Data FragmentsLars Heling, Maribel Acosta. 1047-1057 [doi]
- An Invertible Graph Diffusion Neural Network for Source LocalizationJunxiang Wang, Junji Jiang, Liang Zhao 0002. 1058-1069 [doi]
- SimGRACE: A Simple Framework for Graph Contrastive Learning without Data AugmentationJun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li. 1070-1079 [doi]
- MiDaS: Representative Sampling from Real-world HypergraphsMinyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin. 1080-1092 [doi]
- A New Dynamic Algorithm for Densest SubhypergraphsSuman K. Bera, Sayan Bhattacharya, Jayesh Choudhari, Prantar Ghosh. 1093-1103 [doi]
- Graph Alignment with Noisy SupervisionShichao Pei, Lu Yu 0006, Guoxian Yu, Xiangliang Zhang 0001. 1104-1114 [doi]
- CGC: Contrastive Graph Clustering forCommunity Detection and TrackingNamyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, SungChul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos. 1115-1126 [doi]
- Graph Neural Networks Beyond Compromise Between Attribute and TopologyLiang Yang 0002, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang 0002, Xiaochun Cao, Dongxiao He. 1127-1135 [doi]
- Graph Sanitation with Application to Node ClassificationZhe Xu, Boxin Du, Hanghang Tong. 1136-1147 [doi]
- Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social MediaErxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, JunZhou Huang, Sophia Ananiadou. 1148-1158 [doi]
- TREND: TempoRal Event and Node Dynamics for Graph Representation LearningZhihao Wen, Yuan Fang 0001. 1159-1169 [doi]
- Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative SamplingMingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Sanglu Lu. 1170-1180 [doi]
- Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain RecommendationWeiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen 0001. 1181-1190 [doi]
- Lightning Fast and Space Efficient k-clique CountingXiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang. 1191-1202 [doi]
- Graph Communal Contrastive LearningBolian Li, Baoyu Jing, Hanghang Tong. 1203-1213 [doi]
- RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional NetworkJian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong. 1214-1225 [doi]
- Geometric Graph Representation Learning via Maximizing Rate ReductionXiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu. 1226-1237 [doi]
- Dual Space Graph Contrastive LearningHaoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu. 1238-1247 [doi]
- Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution ShiftHongrui Liu, Binbin Hu, Xiao Wang 0017, Chuan Shi, Zhiqiang Zhang, Jun Zhou. 1248-1258 [doi]
- EDITS: Modeling and Mitigating Data Bias for Graph Neural NetworksYushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li. 1259-1269 [doi]
- Meta-Weight Graph Neural Network: Push the Limits Beyond Global HomophilyXiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang. 1270-1280 [doi]
- Model-Agnostic Augmentation for Accurate Graph ClassificationJaemin Yoo, Sooyeon Shim, U Kang. 1281-1291 [doi]
- Multimodal Continual Graph Learning with Neural Architecture SearchJie Cai, Xin Wang 0019, Chaoyu Guan, Yateng Tang, Jin Xu, Bin Zhong, Wenwu Zhu 0001. 1292-1300 [doi]
- KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging ScenariosYiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han 0001. 1301-1310 [doi]
- AUC-oriented Graph Neural Network for Fraud DetectionMengda Huang, Yang Liu, Xiang Ao 0001, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He 0003. 1311-1321 [doi]
- Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagationSixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li 0001, Guandong Xu. 1322-1330 [doi]
- Graph-adaptive Rectified Linear Unit for Graph Neural NetworksYifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King. 1331-1339 [doi]
- Neural Predicting Higher-order Patterns in Temporal NetworksYunyu Liu, Jianzhu Ma, Pan Li 0005. 1340-1351 [doi]
- Robust Self-Supervised Structural Graph Neural Network for Social Network PredictionYanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang. 1352-1361 [doi]
- Adversarial Graph Contrastive Learning with Information RegularizationShengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong. 1362-1371 [doi]
- A Rapid Source Localization Method in the Early Stage of Large-scale Network PropagationZhen Wang, Dongpeng Hou, Chao Gao, Jiajin Huang, Qi Xuan. 1372-1380 [doi]
- Designing the Topology of Graph Neural Networks: A Novel Feature Fusion PerspectiveLanning Wei, Huan Zhao, Zhiqiang He. 1381-1391 [doi]
- Towards Unsupervised Deep Graph Structure LearningYixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan. 1392-1403 [doi]
- Polarized Graph Neural NetworksZheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang. 1404-1413 [doi]
- Fair k-Center Clustering in MapReduce and Streaming SettingsSuman K. Bera, Syamantak Das, Sainyam Galhotra, Sagar Sudhir Kale. 1414-1422 [doi]
- Unbiased Graph Embedding with Biased Graph ObservationsNan Wang, Lu Lin, Jundong Li, Hongning Wang. 1423-1433 [doi]
- Prohibited Item Detection via Risk Graph Structure LearningYugang Ji, Guanyi Chu, Xiao Wang 0017, Chuan Shi, Jianan Zhao 0002, Junping Du. 1434-1443 [doi]
- FreSCo: Mining Frequent Patterns in Simplicial ComplexesGiulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi. 1444-1454 [doi]
- Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain RecommendationChaochao Chen 0001, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang. 1455-1465 [doi]
- Inflation Improves Graph Neural NetworksDongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang 0002. 1466-1474 [doi]
- Generating Simple Directed Social Network Graphs for Information SpreadingChristoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan A. Velimsky, Robert Elsässer, Bernhard C. Geiger. 1475-1485 [doi]
- H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic ConnectionsFengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou 0001, Jia Wu 0001. 1486-1494 [doi]
- SATMargin: Practical Maximal Frequent Subgraph Mining via Margin Space SamplingMuyi Liu, Pan Li. 1495-1505 [doi]
- On Size-Oriented Long-Tailed Graph Classification of Graph Neural NetworksZemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang 0001, Jianling Sun. 1506-1516 [doi]
- Listing Maximal k-Plexes in Large Real-World GraphsZhengren Wang, Yi Zhou, Mingyu Xiao, Bakhadyr Khoussainov. 1517-1527 [doi]
- Curvature Graph Generative Adversarial NetworksJianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng. 1528-1537 [doi]
- Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better PracticesPuja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra. 1538-1549 [doi]
- GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and HeterophilyLun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang. 1550-1558 [doi]
- Learning the Markov Order of Paths in GraphsLuka V. Petrovic, Ingo Scholtes. 1559-1569 [doi]
- A Viral Marketing-Based Model For Opinion Dynamics in Online Social NetworksSijing Tu, Stefan Neumann 0003. 1570-1578 [doi]
- ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal NetworksDiego Santoro, Ilie Sarpe. 1579-1588 [doi]
- FirmCore Decomposition of Multilayer NetworksFarnoosh Hashemi, Ali Behrouz, Laks V. S. Lakshmanan. 1589-1600 [doi]
- Compact Graph Structure Learning via Mutual Information CompressionNian Liu, Xiao Wang 0017, Lingfei Wu, Yu Chen, Xiaojie Guo 0002, Chuan Shi. 1601-1610 [doi]
- ClusterSCL: Cluster-Aware Supervised Contrastive Learning on GraphsYanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li 0001, Hong Chen. 1611-1621 [doi]
- Graph Neural Network for Higher-Order Dependency NetworksDi Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang 0002. 1622-1630 [doi]
- Collaborative Knowledge Distillation for Heterogeneous Information Network EmbeddingCan Wang 0001, Sheng Zhou 0004, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen 0001. 1631-1639 [doi]
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- Learning Recommenders for Implicit Feedback with Importance ResamplingJin Chen, Defu Lian, Binbin Jin, Kai Zheng 0001, Enhong Chen. 1997-2005 [doi]
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- Learning Robust Recommenders through Cross-Model AgreementYu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He 0001. 2015-2025 [doi]
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- Rating Distribution Calibration for Selection Bias Mitigation in RecommendationsHaochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng. 2048-2057 [doi]
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- Dynamic Gaussian Embedding of AuthorsAntoine Gourru, Julien Velcin, Christophe Gravier, Julien Jacques. 2109-2119 [doi]
- GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction PredictionChunyu Wei, Bing Bai, Kun Bai, Fei Wang. 2120-2130 [doi]
- Towards a Multi-View Attentive Matching for Personalized Expert FindingQiyao Peng, Hongtao Liu, YingHui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang 0002. 2131-2140 [doi]
- Deep Unified Representation for Heterogeneous RecommendationChengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang. 2141-2152 [doi]
- Multiple Choice Questions based Multi-Interest Policy Learning for Conversational RecommendationYiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei. 2153-2162 [doi]
- Graph-based Extractive Explainer for RecommendationsPeng Wang, Renqin Cai, Hongning Wang. 2163-2171 [doi]
- Intent Contrastive Learning for Sequential RecommendationYongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong. 2172-2182 [doi]
- Learning to Augment for Casual User RecommendationJianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen. 2183-2194 [doi]
- Unbiased Sequential Recommendation with Latent ConfoundersZhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen. 2195-2204 [doi]
- MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary TasksYun He 0001, Xue Feng, Cheng Cheng, Geng Ji 0001, Yunsong Guo, James Caverlee. 2205-2215 [doi]
- Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest RecommendationShengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu 0001. 2216-2226 [doi]
- Generative Session-based RecommendationZhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu. 2227-2235 [doi]
- MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty CalibrationSiguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng. 2236-2246 [doi]
- Adaptive Experimentation with Delayed Binary FeedbackZenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan. 2247-2255 [doi]
- Disentangling Long and Short-Term Interests for RecommendationYu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li. 2256-2267 [doi]
- CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱Zhi Zheng, Zhaopeng Qiu, Tong Xu 0001, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong 0001. 2268-2276 [doi]
- Meta-Learning Helps Personalized Product SearchBin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang. 2277-2287 [doi]
- Sequential Recommendation with Decomposed Item Feature RoutingKun Lin, Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen. 2288-2297 [doi]
- An Empirical Investigation of Personalization Factors on TikTokMaximilian Boeker, Aleksandra Urman. 2298-2309 [doi]
- LBCF: A Large-Scale Budget-Constrained Causal Forest AlgorithmMeng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang. 2310-2319 [doi]
- Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive LearningZihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao. 2320-2329 [doi]
- Contrastive Learning for Knowledge TracingWonsung Lee, Jaeyoon Chun, Youngmin Lee, KyoungSoo Park, Sungrae Park. 2330-2338 [doi]
- MCL: Mixed-Centric Loss for Collaborative FilteringZhaolin Gao, Zhaoyue Cheng, Felipe Pérez, Jianing Sun, Maksims Volkovs. 2339-2347 [doi]
- Off-policy Learning over Heterogeneous Information for RecommendationXiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu. 2348-2359 [doi]
- FIRE: Fast Incremental Recommendation with Graph Signal ProcessingJiafeng Xia, Dongsheng Li 0002, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu. 2360-2369 [doi]
- Cross Pairwise Ranking for Unbiased Item RecommendationQi Wan, Xiangnan He 0001, Xiang Wang 0010, Jiancan Wu, Wei Guo, Ruiming Tang. 2370-2378 [doi]
- Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation SystemsYaochen Zhu, Zhenzhong Chen. 2379-2387 [doi]
- Filter-enhanced MLP is All You Need for Sequential RecommendationKun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen. 2388-2399 [doi]
- QLUE: A Computer Vision Tool for Uniform Qualitative Evaluation of Web PagesWaleed Hashmi, Moumena Chaqfeh, Lakshminarayanan Subramanian, Yasir Zaki. 2400-2410 [doi]
- Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation VectorsChristina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier. 2411-2421 [doi]
- Distributional Contrastive Embedding for Clarification-based Conversational CritiquingTianshu Shen, Zheda Mai, Ga Wu, Scott Sanner. 2422-2432 [doi]
- Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast RecommendationsZahra Nazari, Praveen Chandar, Ghazal Fazelnia, Catherine M. Edwards, Benjamin A. Carterette, Mounia Lalmas. 2433-2441 [doi]
- Efficient Online Learning to Rank for Sequential Music RecommendationPedro Dalla Vecchia Chaves, Bruno L. Pereira, Rodrygo L. T. Santos. 2442-2450 [doi]
- Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior DataJiarui Jin, Xianyu Chen, Weinan Zhang 0001, Junjie Huang, Ziming Feng, Yong Yu 0001. 2451-2461 [doi]
- HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric RegularizationMenglin Yang 0001, Min Zhou 0006, Jiahong Liu 0001, Defu Lian, Irwin King. 2462-2471 [doi]
- Prototype Feature Extraction for Multi-task LearningShen Xin, Yuhang Jiao 0001, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang. 2472-2481 [doi]
- Stochastic-Expert Variational Autoencoder for Collaborative FilteringYoon-Sik Cho, Min-hwan Oh. 2482-2490 [doi]
- Left or Right: A Peek into the Political Biases in Email Spam Filtering Algorithms During US Election 2020Hassan Iqbal, Usman Mahmood Khan, Hassan Ali Khan, Muhammad Shahzad. 2491-2500 [doi]
- Evidence-aware Fake News Detection with Graph Neural NetworksWeizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang. 2501-2510 [doi]
- BSODA: A Bipartite Scalable Framework for Online Disease DiagnosisWeijie He, Xiaohao Mao, Chao Ma 0019, Yu Huang, José Miguel Hernández-Lobato, Ting Chen. 2511-2521 [doi]
- Leveraging Google's Publisher-Specific IDs to Detect Website AdministrationEmmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis. 2522-2531 [doi]
- Second-level Digital Divide: A Longitudinal Study of Mobile Traffic Consumption Imbalance in FranceSachit Mishra, Zbigniew Smoreda, Marco Fiore. 2532-2540 [doi]
- The Impact of Twitter Labels on Misinformation Spread and User Engagement: Lessons from Trump's Election TweetsOrestis Papakyriakopoulos, Ellen Goodmann. 2541-2551 [doi]
- PopNet: Real-Time Population-Level Disease Prediction with Data LatencyJunyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun. 2552-2562 [doi]
- Early Identification of Depression Severity Levels on Reddit Using Ordinal ClassificationUsman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi. 2563-2572 [doi]
- Identification of Disease or Symptom terms in Reddit to Improve Health Mention ClassificationUsman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn. 2573-2581 [doi]
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- Understanding Conflicts in Online ConversationsSharon Levy, Robert E. Kraut, Jane A. Yu, Kristen M. Altenburger, Yi-Chia Wang. 2592-2602 [doi]
- Emotion Bubbles: Emotional Composition of Online Discourse Before and After the COVID-19 OutbreakAssem Zhunis, Gabriel Lima, Hyeonho Song, Jiyoung Han, Meeyoung Cha. 2603-2613 [doi]
- Characterizing, Detecting, and Predicting Online Ban EvasionManoj Niverthi, Gaurav Verma, Srijan Kumar. 2614-2623 [doi]
- Controlled Analyses of Social Biases in Wikipedia BiosAnjalie Field, Chan Young Park, Kevin Z. Lin, Yulia Tsvetkov. 2624-2635 [doi]
- EvidenceNet: Evidence Fusion Network for Fact VerificationZhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Fei Li, Meihuizi Jia, Jiaqi Li. 2636-2645 [doi]
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- Context-based Collective Preference Aggregation for Prioritizing Crowd Opinions in Social Decision-makingJiyi Li. 2657-2667 [doi]
- How Misinformation Density Affects Health Information SearchQiurong Song, Jiepu Jiang. 2668-2677 [doi]
- Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the USJing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li. 2678-2686 [doi]
- What Does Perception Bias on Social Networks Tell Us About Friend Count Satisfaction?Shen Yan, Kristen M. Altenburger, Yi-Chia Wang, Justin Cheng. 2687-2695 [doi]
- How Do Mothers and Fathers Talk About Parenting to Different Audiences?: Stereotypes and Audience Effects: An Analysis of r/Daddit, r/Mommit, and r/Parenting Using Topic ModellingMelody Sepahpour-Fard, Michael Quayle. 2696-2706 [doi]
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- Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization PathwaysFrancesco Fabbri, Yanhao Wang 0001, Francesco Bonchi, Carlos Castillo 0001, Michael Mathioudakis. 2719-2728 [doi]
- GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online DebatesVibhor Agarwal, Sagar Joglekar 0001, Anthony P. Young, Nishanth Sastry. 2729-2737 [doi]
- Zero-Shot Stance Detection via Contrastive LearningBin Liang, Zixiao Chen, Lin Gui 0003, Yulan He 0001, Min Yang, Ruifeng Xu. 2738-2747 [doi]
- Is Least-Squares Inaccurate in Fitting Power-Law Distributions? The Criticism is Complete NonsenseXiaoshi Zhong, Muyin Wang, Hongkun Zhang. 2748-2758 [doi]
- Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic FilteringMeng Li 0010, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen. 2759-2767 [doi]
- Recommendation UnlearningChong Chen, Fei Sun 0001, Min Zhang, Bolin Ding. 2768-2777 [doi]
- KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation ExtractionXiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen. 2778-2788 [doi]
- Rumor Detection on Social Media with Graph Adversarial Contrastive LearningTiening Sun, Zhong Qian, Sujun Dong, Peifeng Li, Qiaoming Zhu. 2789-2797 [doi]
- Detecting False Rumors from Retweet Dynamics on Social MediaChristof Naumzik, Stefan Feuerriegel. 2798-2809 [doi]
- VisGNN: Personalized Visualization Recommendationvia Graph Neural NetworksFayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, SungChul Kim, Chang Xiao, Eunyee Koh. 2810-2818 [doi]
- TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic ClustersDongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han 0001, Hwanjo Yu. 2819-2829 [doi]
- Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph NetworkYe Tao, Ying Li, Su Zhang, Zhirong Hou, Zhonghai Wu. 2830-2838 [doi]
- Genre-Controllable Story Generation via Supervised Contrastive LearningJin-Uk Cho, Min-Su Jeong, JinYeong Bak, Yun-Gyung Cheong. 2839-2849 [doi]
- Is this Question Real? Dataset Collection on Perceived Intentions and Implicit Attack DetectionMaryam Sadat Mirzaei, Kourosh Meshgi, Satoshi Sekine. 2850-2859 [doi]
- Modeling Inter Round Attack of Online Debaters for Winner PredictionFa-Hsuan Hsiao, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen. 2860-2869 [doi]
- A Guided Topic-Noise Model for Short TextsRobert Churchill, Lisa Singh, Rebecca Ryan, Pamela Davis-Kean. 2870-2878 [doi]
- Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity PredictionShisong Tang, Qing Li, Xiaoteng Ma, Ci Gao, Dingmin Wang, Yong Jiang, Qian Ma, Aoyang Zhang, Hechang Chen. 2879-2887 [doi]
- "I Have No Text in My Post": Using Visual Hints to Model User Emotions in Social MediaJunho Song, Kyungsik Han, Sang-Wook Kim. 2888-2896 [doi]
- Cross-modal Ambiguity Learning for Multimodal Fake News DetectionYixuan Chen 0003, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun, Li Shang. 2897-2905 [doi]
- Contrastive Learning with Positive-Negative Frame Mask for Music RepresentationDong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He. 2906-2915 [doi]
- CycleNER: An Unsupervised Training Approach for Named Entity RecognitionAndrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi. 2916-2924 [doi]
- A Meta-learning based Stress Category Detection Framework on Social MediaXin Wang, Lei Cao, Huijun Zhang, Ling Feng, Yang Ding, Ningyun Li. 2925-2935 [doi]
- Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music SequencingEmanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas. 2936-2945 [doi]
- Massive Text Normalization via an Efficient Randomized AlgorithmNan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue. 2946-2956 [doi]
- Effective Messaging on Social Media: What Makes Online Content Go Viral?Maryam Mousavi, Hasan Davulcu, Mohsen Ahmadi, Robert Axelrod, Richard Davis, Scott Atran. 2957-2966 [doi]
- Using Web Data to Reveal 22-Year History of Sneaker DesignsSungkyu Park, Hyeonho Song, Sungwon Han 0001, Berhane Weldegebriel, Lev Manovich, Emanuele Arielli, Meeyoung Cha. 2967-2977 [doi]
- AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation CaptionsQuoc-Tuan Truong, Tong Zhao, Changhe Yuan, Jin Li 0003, Jim Chan, Soo-Min Pantel, Hady W. Lauw. 2978-2988 [doi]
- DUET: A Generic Framework for Finding Special Quadratic Elements in Data StreamsJiaqian Liu, Haipeng Dai, Rui Xia, Meng Li 0010, Ran Ben-Basat, Rui Li, Guihai Chen. 2989-2997 [doi]
- User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational SystemsYang Deng 0002, Wenxuan Zhang, Wai Lam, Hong Cheng 0001, Helen Meng. 2998-3008 [doi]
- Can Small Heads Help? Understanding and Improving Multi-Task GeneralizationYuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Li Wei, Ed H. Chi. 3009-3019 [doi]
- Hybrid Contrastive Quantization for Efficient Cross-View Video RetrievalJinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu. 3020-3030 [doi]
- Explainable Neural Rule LearningShaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang. 3031-3041 [doi]
- Making Decision like Human: Joint Aspect Category Sentiment Analysis and Rating Prediction with Fine-to-Coarse ReasoningHao Fei 0001, Jingye Li, Yafeng Ren, Meishan Zhang, Donghong Ji. 3042-3051 [doi]
- Significance and Coverage in Group Testing on the Social WebNassim Bouarour, Idir Benouaret, Sihem Amer-Yahia. 3052-3060 [doi]
- Geospatial Entity ResolutionPasquale Balsebre, Dezhong Yao 0002, Gao Cong, Zhen Hai. 3061-3070 [doi]
- A Deep Markov Model for Clickstream Analytics in Online ShoppingYilmazcan Özyurt, Tobias Hatt, Ce Zhang 0001, Stefan Feuerriegel. 3071-3081 [doi]
- DiriE: Knowledge Graph Embedding with Dirichlet DistributionFeiyang Wang, Zhongbao Zhang, Li Sun, Junda Ye, Yang Yan. 3082-3091 [doi]
- Accurate and Explainable Recommendation via Review RationalizationSicheng Pan, Dongsheng Li 0002, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu. 3092-3101 [doi]
- EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and ForecastingSheo Yon Jhin, Jaehoon Lee 0002, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim 0002, Noseong Park. 3102-3112 [doi]
- Comparative Explanations of RecommendationsAobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang. 3113-3123 [doi]
- WebFormer: The Web-page Transformer for Structure Information ExtractionQifan Wang, Yi Fang 0008, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu. 3124-3133 [doi]
- Topological Transduction for Hybrid Few-shot LearningJiayi Chen, Aidong Zhang. 3134-3142 [doi]
- Topic Discovery via Latent Space Clustering of Pretrained Language Model RepresentationsYu Meng 0001, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han 0001. 3143-3152 [doi]
- OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak SupervisionXinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han 0001. 3153-3161 [doi]
- Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text ClassificationYu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han 0001. 3162-3173 [doi]
- CAMul: Calibrated and Accurate Multi-view Time-Series ForecastingHarshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang 0014, B. Aditya Prakash. 3174-3185 [doi]
- Using Survival Models to Estimate User Engagement in Online ExperimentsPraveen Chandar, Brian St. Thomas, Lucas Maystre, Vijay Pappu, Roberto Sanchis-Ojeda, Tiffany Wu, Ben Carterette, Mounia Lalmas, Tony Jebara. 3186-3195 [doi]
- Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter DiscourseMaxwell A. Weinzierl, Sanda M. Harabagiu. 3196-3205 [doi]
- Who to Watch Next: Two-side Interactive Networks for Live Broadcast RecommendationJiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang 0001, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu 0001. 3206-3216 [doi]
- STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based RecommendationZhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang 0001. 3217-3228 [doi]
- Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based RecommendationWei Zhang 0056, Junbing Yan, Zhuo Wang 0006, Jianyong Wang 0001. 3229-3238 [doi]
- A Contrastive Sharing Model for Multi-Task RecommendationTing Bai, Yudong Xiao, Bin Wu, Guojun Yang, Hongyong Yu, Jian-Yun Nie. 3239-3247 [doi]
- GRAND+: Scalable Graph Random Neural NetworksWenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang 0001. 3248-3258 [doi]
- Interpreting BERT-based Text Similarity via Activation and Saliency MapsItzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein. 3259-3268 [doi]
- Socially-Equitable Interactive Graph Information Fusion-based Prediction for Urban Dockless E-Scooter SharingSuining He, Kang G. Shin. 3269-3279 [doi]
- MagNet: Cooperative Edge Caching by Automatic Content CongregatingJunkun Peng, Qing Li, Xiaoteng Ma, Yong Jiang, Yutao Dong, Chuang Hu, Meng Chen. 3280-3288 [doi]
- Learning-based Fuzzy Bitrate Matching at the Edge for Adaptive Video StreamingWanxin Shi, Qing Li, Chao Wang, Longhao Zou, Gengbiao Shen, Pei Zhang, Yong Jiang. 3289-3297 [doi]
- A Comprehensive Benchmark of Deep Learning Libraries on Mobile DevicesQiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou 0001, Mengwei Xu, Shangguang Wang, Yun Ma 0002, Xuanzhe Liu. 3298-3307 [doi]
- Beyond the First Law of Geography: Learning Representations of Satellite Imagery by Leveraging Point-of-InterestsYanxin Xi, Tong Li 0013, Huandong Wang, Yong Li, Sasu Tarkoma, Pan Hui. 3308-3316 [doi]
- Multi-dimensional Probabilistic Regression over Imprecise Data StreamsRan Gao, Xike Xie, Kai Zou, Torben Bach Pedersen. 3317-3326 [doi]
- Lie to Me: Abusing the Mobile Content Sharing Service for Fun and ProfitGuosheng Xu, Siyi Li, Hao Zhou, Shucen Liu, Yutian Tang, Li Li, Xiapu Luo, Xusheng Xiao, Guoai Xu, Haoyu Wang. 3327-3335 [doi]
- Knowledge Enhanced GAN for IoT Traffic GenerationShuodi Hui, Huandong Wang, Zhenhua Wang, Xinghao Yang, Zhongjin Liu, Depeng Jin, Yong Li. 3336-3346 [doi]
- LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split LearningSeungeun Oh, Jihong Park, Praneeth Vepakomma, Sihun Baek, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim. 3347-3357 [doi]
- Commutativity-guaranteed Docker Image Reconstruction towards Effective Layer SharingSisi Li, Ao Zhou 0001, Xiao Ma, Mengwei Xu, Shangguang Wang. 3358-3366 [doi]
- FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot DetectionWenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi. 3367-3375 [doi]
- Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural NetworkLiangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu. 3376-3386 [doi]
- Winning Tracker: A New Model for Real-time Winning Prediction in MOBA GamesChuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen. 3387-3395 [doi]
- Unsupervised Representation Learning of Player Behavioral Data with Confidence Guided MaskingJiashu Pu, Jianshi Lin, Xiaoxi Mao, Jianrong Tao, Xudong Shen, Yue Shang, Runze Wu. 3396-3406 [doi]
- Nebula: Reliable Low-latency Video Transmission for Mobile Cloud GamingAhmad Alhilal, Tristan Braud, Bo Han 0001, Pan Hui 0001. 3407-3417 [doi]
- Analyzing the Differences between Professional and Amateur Esports through Win ProbabilityPeter Xenopoulos, William Robert Freeman, Cláudio T. Silva. 3418-3427 [doi]
- DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena GamesHoJoon Lee, Dongyoon Hwang, Hyunseung Kim, ByungKun Lee, Jaegul Choo. 3428-3439 [doi]
- The Price to Play: A Privacy Analysis of Free and Paid Games in the Android EcosystemPierre Laperdrix, Naif Mehanna, Antonin Durey, Walter Rudametkin. 3440-3449 [doi]
- On The Origins Of Hypertext In The Disasters Of The Short 20th CenturyMark Bernstein. 3450-3457 [doi]
- Through the Lens of the Web Conference Series: A Look Into the History of the WebDamien Graux, Fabrizio Orlandi. 3458-3464 [doi]
- From Indymedia to Tahrir Square: The Revolutionary Origins of Status Updates on TwitterHarry Halpin, Evan Henshaw-Plath. 3465-3470 [doi]
- "Way back then": A Data-driven View of 25+ years of Web EvolutionVibhor Agarwal, Nishanth Sastry. 3471-3479 [doi]
- A Never-Ending Project for Humanity Called "the Web"Fabien Gandon, Wendy Hall 0001. 3480-3487 [doi]
- Fairness Audit of Machine Learning Models with Confidential ComputingSaerom Park, Seongmin Kim, Yeon-sup Lim. 3488-3499 [doi]
- BZNet: Unsupervised Multi-scale Branch Zooming Network for Detecting Low-quality Deepfake VideosSangyup Lee, Jaeju An, Simon S. Woo. 3500-3510 [doi]
- VICTOR: An Implicit Approach to Mitigate Misinformation via Continuous Verification ReadingKuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang 0001, Lun-Wei Ku. 3511-3519 [doi]
- End-to-End Learning for Fair Ranking SystemsJames Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu. 3520-3530 [doi]
- To Trust or Not To Trust: How a Conversational Interface Affects Trust in a Decision Support SystemAkshit Gupta, Debadeep Basu, Ramya Ghantasala, Sihang Qiu, Ujwal Gadiraju. 3531-3540 [doi]
- Link Recommendations for PageRank FairnessSotiris Tsioutsiouliklis, Evaggelia Pitoura, Konstantinos Semertzidis, Panayiotis Tsaparas. 3541-3551 [doi]
- Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive AttributesHui Hu, Lu Cheng, Jayden Parker Vap, Mike Borowczak. 3552-3561 [doi]
- Causal Representation Learning for Out-of-Distribution RecommendationWenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He 0001, Min Lin, Tat-Seng Chua. 3562-3571 [doi]
- Privacy-Preserving Fair Learning of Support Vector Machine with Homomorphic EncryptionSaerom Park, Junyoung Byun, Joohee Lee. 3572-3583 [doi]
- Regulating Online Political AdvertisingEray Turkel. 3584-3593 [doi]
- Generating Perturbation-based Explanations with Robustness to Out-of-Distribution DataLuyu Qiu, Yi Yang, Caleb Chen Cao, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet Hui-wen Hsiao, Lei Chen 0002. 3594-3605 [doi]
- Distributionally-robust Recommendations for Improving Worst-case User ExperienceHongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi. 3606-3610 [doi]
- Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face RecognitionZiyi Kou, Lanyu Shang, Yang Zhang 0031, Siyu Duan, Dong Wang 0002. 3611-3622 [doi]
- A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation DetectionLanyu Shang, Ziyi Kou, Yang Zhang, Dong Wang. 3623-3631 [doi]
- Domain Adaptive Fake News Detection via Reinforcement LearningAhmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu 0001. 3632-3640 [doi]
- Towards an Interpretable Approach to Classify and Summarize Crisis Events from MicroblogsThi-Huyen Nguyen, Koustav Rudra. 3641-3650 [doi]
- On Explaining Multimodal Hateful Meme Detection ModelsMing Shan Hee, Roy Ka-Wei Lee, Wen Haw Chong. 3651-3655 [doi]
- Hate Speech in the Political Discourse on Social Media: Disparities Across Parties, Gender, and EthnicityKirill Solovev, Nicolas Pröllochs. 3656-3661 [doi]
- Exposing Query Identification for Search TransparencyRuohan Li, Jianxiang Li, Bhaskar Mitra 0001, Fernando Diaz 0001, Asia J. Biega. 3662-3672 [doi]
- Veracity-aware and Event-driven Personalized News Recommendation for Fake News MitigationShoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song. 3673-3684 [doi]
- "This is Fake! Shared it by Mistake": Assessing the Intent of Fake News SpreadersXinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu 0001, Reza Zafarani. 3685-3694 [doi]
- Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart SpeakersAbhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh 0001, Animesh Mukherjee 0001, Krishna P. Gummadi. 3695-3705 [doi]
- Moral Emotions Shape the Virality of COVID-19 Misinformation on Social MediaKirill Solovev, Nicolas Pröllochs. 3706-3717 [doi]
- Fostering Engagement of Underserved Communities with Credible Health Information on Social MediaAgha Ali Raza, Mustafa Naseem, Namoos Hayat Qasmi, Shan Randhawa, Fizzah Malik, Behzad Taimur, Sacha St-Onge Ahmad, Sarojini Hirshleifer, Arman Rezaee, Aditya Vashistha. 3718-3727 [doi]
- Screenshots, Symbols, and Personal Thoughts: The Role of Instagram for Social ActivismEhsan ul Haq, Tristan Braud, Yui Pan Yau, Lik Hang Lee, Franziska B. Keller, Pan Hui 0001. 3728-3739 [doi]
- ExpScore: Learning Metrics for Recommendation ExplanationBingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah. 3740-3744 [doi]
- Following Good Examples - Health Goal-Oriented Food Recommendation based on Behavior DataYabo Ling, Jian-Yun Nie, Daiva Nielsen, Bärbel Knäuper, Nathan Yang, Laurette Dubé. 3745-3754 [doi]
- Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label RefinementKarishma Sharma, Emilio Ferrara, Yan Liu 0002. 3755-3764 [doi]