Table of Contents

• Feature Map Purification for Enhancing Adversarial Robustness of Deep Timeseries ClassifiersMubarak G. Abdu-Aguye, Muhammad Zaigham Zaheer, Karthik Nandakumar. 1-10 [doi]
• Margin-Bounded Confidence Scores for Out-of-Distribution DetectionLakpa Dorje Tamang, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal. 1-10 [doi]
• LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal DataBang An 0002, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo 0007. 11-20 [doi]
• Normalizing Self-Supervised Learning for Provably Reliable Change Point DetectionAlexandra Bazarova, Evgenia Romanenkova, Alexey Zaytsev 0002. 21-30 [doi]
• Fast and Accurate Triangle Counting in Graph Streams Using PredictionsCristian Boldrin, Fabio Vandin. 31-40 [doi]
• Graph Contrastive Learning with Adversarial Structure Refinement (GCL-ASR)Jiangwen Chen, Kou Guang, Huang Yan, Qiyang Li, Tan Hao. 41-50 [doi]
• Towards Cross-Domain Few-Shot Graph Anomaly DetectionJiazhen Chen, Sichao Fu, Zhibin Zhang, Zheng Ma, Mingbin Feng, Tony S. Wirjanto, Qinmu Peng. 51-60 [doi]
• HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph ClusteringMan-Sheng Chen, Xiaosha Cai, Chang-Dong Wang 0001, Dong Huang 0001, Min Chen 0003, Mohsen Guizani. 61-70 [doi]
• A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation SystemsQingfeng Chen, Boquan Wei, Debo Cheng, Jiuyong Li, Lin Liu 0003, Shichao Zhang 0001. 71-80 [doi]
• Continuous Exact Explanations of Neural NetworksAlice Dethise, Marco Canini. 81-90 [doi]
• Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder AnalysisGuangwei Dong, Xuexiong Luo, Jing Du 0003, Jia Wu 0001, Shan Xue 0001, Jian Yang 0001, Amin Beheshti. 91-100 [doi]
• Resource2Box: Learning To Rank Resources in Distributed Search Using Box EmbeddingUlugbek Ergashev, Geon Lee, Kijung Shin, Eduard C. Dragut, Weiyi Meng. 101-110 [doi]
• Graph Community Augmentation with GMM-Based Modeling in Latent SpaceShintaro Fukushima, Kenji Yamanishi. 111-120 [doi]
• TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster DetectionVenus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu 0001, Yang Zhang 0095, Lina Yao 0001, Quan Z. Sheng, Jian Yang 0001. 121-130 [doi]
• Scaling Disk Failure Prediction via Multi-Source Stream MiningShujie Han 0003, Zirui Ou, Qun Huang, Patrick P. C. Lee. 131-140 [doi]
• GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in GraphsWei Huang 0040, Hanchen Wang 0001, Dong Wen 0001, Xuefeng Chen 0001, Wenjie Zhang 0001, Ying Zhang 0001. 141-150 [doi]
• HFGNN: Efficient Graph Neural Networks Using Hub-Fringe StructuresPak Lon Ip, Shenghui Zhang, Xuekai Wei, Tsz Nam Chan, Leong Hou U. 151-160 [doi]
• Informative Subgraphs Aware Masked Auto-Encoder in Dynamic GraphsPengfei Jiao, Xinxun Zhang, Mengzhou Gao 0001, Tianpeng Li, Zhidong Zhao. 161-170 [doi]
• ELiCiT: Effective and Lightweight Lossy Compression of TensorsJihoon Ko, Taehyung Kwon, Jinhong Jung, Kijung Shin. 171-180 [doi]
• CounterFair: Group Counterfactuals for Bias Detection, Mitigation and Subgroup IdentificationAlejandro Kuratomi, Zed Lee, Panayiotis Tsaparas, Guilherme Dinis Junior, Evaggelia Pitoura, Tony Lindgren, Panagiotis Papapetrou. 181-190 [doi]
• RecCoder: Reformulating Sequential Recommendation as Large Language Model-Based Code CompletionKai-Huang Lai, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang 0001, Min Chen 0003, Mohsen Guizani. 191-200 [doi]
• Adaptive Graph Neural Networks for Cold-Start Multimedia RecommendationZhen Li, Jibin Wang, Zhuo Chen, Kun Wu, Yuanzhen Wei, Hai Huang. 201-210 [doi]
• Scalable Order-Preserving Pattern MiningLing Li 0012, Wiktor Zuba, Grigorios Loukides, Solon P. Pissis, Maria Matsangidou. 211-220 [doi]
• GADIN: Generative Adversarial Denoise Imputation Network for Incomplete DataDong Li 0023, Zhicong Liu, Mingfeng Hu, Baoyan Song, Xiaohuan Shan. 221-230 [doi]
• Scalable Graph Classification via Random Walk FingerprintsPeiyan Li, Honglian Wang, Christian Böhm 0001. 231-240 [doi]
• Utilitarian Online Learning from Open-World Soft SensingHeng Lian, Yu Huang 0017, Xingquan Zhu 0001, Yi He 0007. 241-250 [doi]
• Contrastive Learning for Adapting Language Model to Sequential RecommendationFei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang 0001, Min Chen 0003, Mohsen Guizani. 251-260 [doi]
• Towards Efficient Ridesharing via Order-Vehicle Pre-Matching Using Attention MechanismZhidan Liu 0001, Jinye Lin, Zhiyu Xia, Chao Chen, Kaishun Wu. 261-270 [doi]
• Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics PredictionYuhang Liu, Yingxue Zhang 0002, Xin Zhang 0098, Yu Yang 0010, Yiqun Xie, Sahar Ghanipoor Machiani, Yanhua Li, Jun Luo 0007. 271-280 [doi]
• DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated LearningKangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu. 281-290 [doi]
• High-Fidelity Diffusion Editor for Zero-Shot Text-Guided Video EditingYan Luo, Zhichao Zuo, Zhao Zhang 0001, Zhongqiu Zhao, Haijun Zhang 0002, Richang Hong. 291-300 [doi]
• Cross-Store Next-Basket RecommendationLiang-Chen Ma, Ya Li, Zi-Feng Mai, Fei-Yao Liang, Chang-Dong Wang 0001, Min Chen 0003, Mohsen Guizani. 301-310 [doi]
• A Learned Approach to Index Algorithm SelectionChaoHong Ma, Xiaohui Yu 0001, Yifan Li 0006, Aishan Maoliniyazi, Xiaofeng Meng 0001. 311-320 [doi]
• Enhancing Embeddings Quality with Stacked Gate for Click-Through Rate PredictionCaihong Mu, Yunfei Fang, Jialiang Zhou, Yi Liu. 321-329 [doi]
• Generating Realistic Tabular Data with Large Language ModelsDang Nguyen 0002, Sunil Gupta 0001, Kien Do, Thin Nguyen, Svetha Venkatesh. 330-339 [doi]
• Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient EncoderDuy A. Nguyen, Trang H. Tran, Huy Hieu Pham 0001, Phi-Le Nguyen, Lam M. Nguyen. 340-349 [doi]
• Hierarchical Explanations for Text Classification Models: Fast and EffectiveZhenyu Nie, Zheng Xiao, Huizhang Luo, Xuan Liu, Anthony Theodore Chronopoulos. 350-359 [doi]
• Warm-Starting Contextual Bandits Under Latent Reward ScalingBastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein. 360-369 [doi]
• EMIT - Event-Based Masked Auto Encoding for Irregular Time SeriesHrishikesh Patel, Ruihong Qiu, Adam Irwin, Shazia Sadiq, Sen Wang 0001. 370-379 [doi]
• A Bayesian Hierarchical Model for Orthogonal Tucker Decomposition with Oblivious Tensor CompressionMatthew Pietrosanu, Bei Jiang, Linglong Kong. 380-389 [doi]
• Solving Combinatorial Optimization Problem Over Graph Through QUBO Transformation and Deep Reinforcement LearningTianle Pu, Chao Chen, Li Zeng, Shixuan Liu, Rui Sun, Changjun Fan. 390-399 [doi]
• ADOD: Adaptive Density Outlier DetectionLi Qian 0001, Jing Qian, Xin Sun 0003, Wengang Guo, Christian Böhm 0001. 400-409 [doi]
• Financial Risk Assessment via Long-term Payment Behavior Sequence FoldingYiran Qiao, Yateng Tang, Xiang Ao, Qi Yuan, Ziming Liu, Chen Shen, Xuehao Zheng. 410-419 [doi]
• ChronoCTI: Mining Knowledge Graph of Temporal Relations Among Cyberattack ActionsRayhanur Rahman, Brandon Wroblewski, Quinn Matthews, Brantley Morgan, Timothy Menzies, Laurie A. Williams. 420-429 [doi]
• Transitivity-Encoded Graph Attention Networks for Complementary Item RecommendationsJin Shang, Yang Jiao, Chenghuan Guo, Minghao Sun, Yan Gao, Jia Liu, Michinari Momma, Itetsu Taru, Yi Sun. 430-439 [doi]
• Efficient Network Embedding by Approximate Equitable PartitionsGiuseppe Squillace, Mirco Tribastone, Max Tschaikowski, Andrea Vandin. 440-449 [doi]
• Debunking Fake News in Online Social Networks Without Text AnalysisXing Su, Jian Yang 0001, Jia Wu 0001, Zitai Qiu. 450-459 [doi]
• TAN: A Tripartite Alignment Network Enhancing Composed Image Retrieval with Momentum DistillationYongquan Wan, Erhe Yang, Cairong Yan, Guobing Zou, Bofeng Zhang. 470-479 [doi]
• SR-PredictAO: Session-Based Recommendation with High-Capability Predictor Add-OnRuida Wang, Raymond Chi-Wing Wong, Weile Tan. 480-489 [doi]
• Early Fire Detection Based on Local Morphological Knowledge MatchingXinzhi Wang 0001, Mengyue Li, Nengjun Zhu, Jiayan Qian, Zhanyi Zheng. 490-499 [doi]
• MOStream: A Modular and Self-Optimizing Data Stream Clustering AlgorithmZhengru Wang, Xin Wang 0120, Shuhao Zhang 0001. 500-509 [doi]
• Bi-Level User Modeling for Deep RecommendersYejing Wang, Dong Xu, Xiangyu Zhao 0001, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang 0009, Xuetao Wei, Qidong Liu 0002. 510-519 [doi]
• Towards Dynamic University Course Timetabling Problem: An Automated Approach Augmented via Reinforcement LearningYanan Xiao, Xianglin Li, Lu Jiang 0007, Pengfei Wang 0008, Kaidi Wang, Na Luo. 520-529 [doi]
• APOLLO: Differential Private Online Multi-Sensor Data Prediction with Certified PerformanceHonghui Xu, Wei Li 0059, Shaoen Wu, Liang Zhao, Zhipeng Cai 0001. 530-539 [doi]
• Probabilistic Matrix Factorization-based Three-stage Label Completion for CrowdsourcingBoyi Yang, Liangxiao Jiang, Wenjun Zhang 0012. 540-549 [doi]
• Combining Self-Supervision and Privileged Information for Representation Learning from Tabular DataHaoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar 0001, György J. Simon. 550-559 [doi]
• PROMIPL: A Probabilistic Generative Model for Multi-Instance Partial-Label LearningYin-Fang Yang, Wei Tang, Min-Ling Zhang. 560-569 [doi]
• HyperTime: A Dynamic Hypergraph Approach for Time Series ClassificationRaneen Younis, Zahra Ahmadi. 570-579 [doi]
• Adaptive Process-Guided Learning: An Application in Predicting Lake DO ConcentrationsRunlong Yu, Chonghao Qiu, Robert Ladwig, Paul C. Hanson, Yiqun Xie, Yanhua Li, Xiaowei Jia. 580-589 [doi]
• DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job RecommendationXiaoshan Yu 0002, Chuan Qin 0002, Qi Zhang 0053, Chen Zhu 0003, Haiping Ma, Xingyi Zhang 0001, Hengshu Zhu. 590-599 [doi]
• Designing an Attack-Defense Game: How to Increase the Robustness of Financial Transaction Models Via a CompetitionAlexey Zaytsev 0001, Maria Kovaleva, Alex Natekin, Evgeni Vorsin, Valerii Smirnov, Georgii Smirnov, Oleg Sidorshin, Alexander Senin, Alexander Dudin, Dmitry Berestnev. 600-609 [doi]
• Emotional Synchronization for Audio-Driven Talking-Head GenerationZhao Zhang 0001, Yan Luo, Zhichao Zuo, Richang Hong, Yi Yang 0001, Meng Wang 0001. 610-618 [doi]
• EEiF: Efficient Isolated Forest with e Branches for Anomaly DetectionYifan Zhang, Haolong Xiang, Xuyun Zhang, Xiaolong Xu 0001, Wei Fan, Qin Zhang 0001, Lianyong Qi. 619-628 [doi]
• Dual Cross-Stage Partial Learning for Detecting Objects in Dehazed ImagesJinbiao Zhao, Zhao Zhang 0001, Jiahuan Ren, Haijun Zhang 0002, Zhongqiu Zhao, Meng Wang 0001. 629-638 [doi]
• Traffic Pattern Sharing for Federated Traffic Flow Prediction with PersonalizationHang Zhou, Wentao Yu, Sheng Wan, Yongxin Tong, Tianlong Gu, Chen Gong 0002. 639-648 [doi]
• Adaptive Loss-aware Modulation for Multimedia RetrievalJian Zhu, Yu Cui, Lei Liu, Zeyi Sun, Yuyang Dai, Xi Wang, Cheng Luo, Li-Rong Dai. 649-658 [doi]
• Efficiently Manipulating Structural Graph Clustering Under Jaccard SimilarityChuanyu Zong, Rui Fang, Mengxiang Wang, Tao Qiu, Anzhen Zhang. 659-668 [doi]
• An Explainable Recommender System by Integrating Graph Neural Networks and User ReviewsSahar Batmani, Parham Moradi, Narges Heidari, Mahdi Jalili. 669-674 [doi]
• SHADE: Deep Density-based ClusteringAnna Beer 0001, Pascal Weber 0001, Lukas Miklautz, Collin Leiber, Walid Durani, Christian Böhm 0001, Claudia Plant. 675-680 [doi]
• Handling Non-IID Data in Federated Learning using Metaheuristic Optimization TechniquesAmin Birashk, Sadaf Md. Halim, Latifur Khan. 681-686 [doi]
• SemiFDA: Domain Adaptation in Semi-Supervised Federated LearningMichele Craighero, Giorgio Rossi, Beatrice Rossi, Diego Carrera, Diego Stucchi, Pasqualina Fragneto, Giacomo Boracchi. 687-692 [doi]
• QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual ExplanationsJamie Andrew Duell, Monika Seisenberger, Hsuan Fu, Xiuyi Fan. 693-698 [doi]
• Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding AlignmentIndrajeet Ghosh, Garvit Chugh, Abu Zaher Md Faridee, Nirmalya Roy. 699-704 [doi]
• Influence-Aware Group Recommendation for Social Media PropagationChengkun He, Xiangmin Zhou, Chen Wang 0008, Longbing Cao, Jie Shao 0001, Zahir Tari. 705-710 [doi]
• D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical ClassificationMinhee Jang, Juheon Son, Thanaporn Viriyasaranon, Junho Kim, Jang Hwan Choi. 711-716 [doi]
• DifFaiRec: Generative Fair Recommender with Conditional Diffusion ModelZhenhao Jiang, Jicong Fan 0001. 717-722 [doi]
• Graph Rhythm Network: Beyond Energy Modeling for Deep Graph Neural NetworksYufei Jin, Xingquan Zhu 0001. 723-728 [doi]
• Channel-Attentive Graph Neural NetworksTugrul Hasan Karabulut, Inci M. Baytas. 729-734 [doi]
• MoRE-LLM: Mixture of Rule Experts Guided by a Large Language ModelAlexander Koebler, Ingo Thon, Florian Buettner 0001. 735-740 [doi]
• SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation LearningRikuto Kotoge, Zheng Chen 0012, Tasuku Kimura, Yasuko Matsubara, Takufumi Yanagisawa, Haruhiko Kishima, Yasushi Sakurai. 741-746 [doi]
• Periodic Prompt on Dynamic Heterogeneous Graph for Next Basket RecommendationRu-Bin Li, Man-Sheng Chen, Xin-Yu Ding, Changdong Wang 0001, Sihong Xie, Shuangyin Liu, Min Chen 0003, Mohsen Guizani. 747-752 [doi]
• Zero-Shot Link Prediction in Knowledge Graphs with Large Language ModelsMingchen Li, Chen Ling 0003, Rui Zhang 0028, Liang Zhao 0002. 753-760 [doi]
• Enhancing Entity Alignment on Probabilistic Knowledge GraphsYunfei Li, Lu Chen 0008, Chengfei Liu, Rui Zhou 0001, Jianxin Li 0001. 761-766 [doi]
• Hypergraph-Enhanced Contrastively Regularized Transformer for Multi-Behavior E-commerce Product RecommendationShuiying Liao, P. Y. Mok. 767-772 [doi]
• Controllable Visit Trajectory Generation with Spatiotemporal ConstraintsHaowen Lin, John Krumm, Cyrus Shahabi, Li Xiong 0001. 773-778 [doi]
• CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial OptimizationYang Liu 0320, Chuan Zhou 0001, Peng Zhang 0001, Zhao Li 0007, Shuai Zhang, Xixun Lin, Xindong Wu 0001. 779-784 [doi]
• AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language ModelsShuo Liu, Di Yao 0001, Lanting Fang, Zhetao Li, Wenbin Li 0012, Kaiyu Feng, Xiaowen Ji, Jingping Bi. 785-790 [doi]
• FGLBA: Enabling Highly-Effective and Stealthy Backdoor Attack on Federated Graph LearningQing Lu, Miao Hu 0001, Di Wu 0001, Yipeng Zhou, Mohsen Guizani, Quan Z. Sheng. 791-796 [doi]
• Towards Expressive Graph Representations for Graph Neural NetworksChengsheng Mao, Liang Yao, Yuan Luo 0001. 797-802 [doi]
• IIFE: Interaction Information Based Automated Feature EngineeringTom Overman, Diego Klabjan, Jean Utke. 803-808 [doi]
• Accurate and Fast Estimation of Temporal Motifs Using Path SamplingYunjie Pan, Omkar Bhalerao, C. Seshadhri 0001, Nishil Talati. 809-814 [doi]
• Multi-Hyperbolic Space-Based Heterogeneous Graph Attention NetworkJongmin Park, Seunghoon Han, Jong-Ryul Lee, Sungsu Lim. 815-820 [doi]
• Exploratory Combinatorial Optimization Problem Solving via Gauge TransformationTianle Pu, Changjun Fan, Mutian Shen, Yizhou Lu, Li Zeng, Zohar Nussinov, Chao Chen, Zhong Liu. 821-826 [doi]
• DynoGraph: Dynamic Graph Construction for Nonlinear Dimensionality ReductionLi Qian 0001, Claudia Plant, Yalan Qin, Jing Qian, Christian Böhm 0001. 827-832 [doi]
• A Momentum Contrastive Learning Framework for Query-POI MatchingYuting Qiang, Jianbing Zheng, LiXia Wu, Haomin Wen, Junhong Lou, Minhui Deng. 833-838 [doi]
• Rank Supervised Contrastive Learning for Time Series ClassificationQianying Ren, Dongsheng Luo, Dongjin Song. 839-844 [doi]
• Constructing $\epsilon$-Constrained Sparsified $\beta^{s}$-Complexes using Space Partitioning TreesRohit P. Singh, Philip A. Wilsey. 845-850 [doi]
• Futures Quantitative Investment With Heterogeneous Continual Graph Neural NetworkZhizhong Tan, Min Hu, Bin Liu, Guosheng Yin. 851-856 [doi]
• ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series PredictionKshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar 0001, Dan Lu. 857-862 [doi]
• Survival Analysis with Multiple Noisy LabelsDonna Tjandra, Jenna Wiens. 863-868 [doi]
• Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly DetectionYuanyi Wang, Haifeng Sun 0001, Chengsen Wang, Mengde Zhu, Jingyu Wang 0001, Wei Tang 0013, Qi Qi 0001, Zirui Zhuang, Jianxin Liao. 869-874 [doi]
• Enhancing Distribution and Label Consistency for Graph Out-of-Distribution GeneralizationSong Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu 0003, Jundong Li, Yiwei Cai. 875-880 [doi]
• 3: Enhancing Concurrency in High-Conflict Transactions with Prior Cascading ControlZhibin Wang, JiangTao Cui, Xiyue Gao, Hui Zhang, Guiqi Ren, Yixiao Liu, Hui Li 0005, Kankan Zhao. 881-886 [doi]
• An Efficient Graph Autoencoder with Lightweight Desmoothing Decoder and Long-Range ModelingJinyong Wen, Tao Zhang, Chunxia Zhang 0001, Shiming Xiang, Chunhong Pan. 887-892 [doi]
• MetaSTC: A Backbone Agnostic Spatio-Temporal Framework for Traffic ForecastingKexin Xu, Zhemeng Yu, Yucen Gao, Songjian Zhang, Jun Fang, Xiaofeng Gao 0001, Guihai Chen. 899-904 [doi]
• Cascading Multimodal Feature Enhanced Contrast Learning for Music RecommendationQimeng Yang, Shijia Wang, Da Guo, Dongjin Yu, Qiang Xiao, Dongjing Wang, Chuanjiang Luo. 905-910 [doi]
• Matrix Profile for Anomaly Detection on Multidimensional Time SeriesChin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng 0001, Junpeng Wang 0001, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang 0047, Wei Zhang 0189, Eamonn J. Keogh. 911-916 [doi]
• Addressing Delayed Feedback in Conversion Rate Prediction: A Domain Adaptation ApproachLeisheng Yu, Yanxiao Cai, Lucas Chen, Minxing Zhang, Wei-Yen Day, Li Li, Rui Chen, Soo Hyun Choi, Xia Hu. 917-922 [doi]
• Generalized Sparse Additive Model with Unknown Link FunctionPeipei Yuan, Xinge You, Hong Chen 0004, Xuelin Zhang, Qinmu Peng. 923-928 [doi]
• A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation SystemsJun Yuan, Guohao Cai, Zhenghua Dong. 929-934 [doi]
• Goal-Guided Generative Prompt Injection Attack on Large Language ModelsChong Zhang 0006, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin. 941-946 [doi]
• Weakly-Supervised Graph Classification with Even a Single Key Subgraph Per ClassLu Zhang 0060, Chenbo Zhang, Jihong Guan, Shuigeng Zhou. 947-952 [doi]
• Reducing Unfairness in Distributed Community DetectionHao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan. 953-958 [doi]
• CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler DivergenceZao Zhang, Huaming Chen, Pei Ning, Nan Yang, Dong Yuan 0001. 959-964 [doi]
• Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item RecommendationNengjun Zhu, Lingdan Sun, Xiangfeng Luo, Jian Cao 0001, Qi Zhang 0020, Xinjiang Lu. 965-970 [doi]
• Multi-Modal Sarcasm Detection via Dual Synergetic Perception Graph Convolutional NetworksXingjie Zhuang, Zhixin Li 0001. 971-976 [doi]