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CIKM 2024: all accepted papers

697 papers · page 1 of 7 · the most cited first · ← CIKM 2024

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  1. RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models ↗Zefan Wang, Z.G Liu, Y. Zhang et al.96 citations
  2. Learnable Item Tokenization for Generative Recommendation ↗Wenjie Wang, Honghui Bao, Xinyu Lin et al.64 citations
  3. Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models ↗Qiong Nan, Qiang Sheng, Juan Cao et al.64 citations
  4. RecDiff: Diffusion Model for Social Recommendation ↗Zongwei Li, Lianghao Xia, Chao Huang48 citations
  5. AlignRec: Aligning and Training in Multimodal Recommendations ↗Yifan Liu, Kangning Zhang, Xiangyuan Ren et al.46 citations
  6. LawLLM: Law Large Language Model for the US Legal System ↗Dong Shu, Haoran Zhao, Xukun Liu et al.45 citations
  7. Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis ↗Zhe Liu, Xiang Huang, Jingyun Zhang et al.44 citations
  8. Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning ↗Ziqiang Cui, Haolun Wu, Bowei He et al.40 citations
  9. TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou ↗Zihua Si, Lin Guan, Zhongxiang Sun et al.40 citations
  10. Multi-Behavior Generative Recommendation ↗Zihan Liu, Yupeng Hou, Julian McAuley37 citations
  11. MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation ↗Jianping Zhou, Junhao Li, Guanjie Zheng et al.35 citations
  12. SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model ↗Lingyue Fu, Hao Guan, Kounianhua Du et al.32 citations
  13. Large Language Models Enhanced Collaborative Filtering ↗Zhongxiang Sun, Zihua Si, Xiaoxue Zang et al.31 citations
  14. EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation ↗Yinghao Zhu, Changyu Ren, Zixiang Wang et al.30 citations
  15. Can LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions ↗Maryam Amirizaniani, Elias Martin, Maryna Sivachenko et al.29 citations
  16. CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient Health State ↗Xiang Li, Shunpan Liang, Yu Lei et al.28 citations
  17. Multimodal Misinformation Detection using Large Vision-Language Models ↗Sahar Tahmasebi, Eric Müller-Budack, Ralph Ewerth28 citations
  18. City Foundation Models for Learning General Purpose Representations from OpenStreetMap ↗Pasquale Balsebre, Weiming Huang, Gao Cong et al.26 citations
  19. Tackling Noisy Clients in Federated Learning with End-to-end Label Correction ↗Xuefeng Jiang, Sheng Sun, Jia Li et al.26 citations
  20. Empowering Private Tutoring by Chaining Large Language Models ↗Yulin Chen, Ning Ding, Hai-Tao Zheng et al.25 citations
  21. GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation ↗Guojiao Lin, Meng Zhen, Dongjie Wang et al.24 citations
  22. Sequence-level Semantic Representation Fusion for Recommender Systems ↗Lanling Xu, Zhen Tian, Bingqian Li et al.24 citations
  23. AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation ↗Jinfeng Xu, Zheyu Chen, Jinze Li et al.23 citations
  24. Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation? ↗Daniele Malitesta, Emanuele Rossi, Claudio Pomo et al.23 citations
  25. Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights ↗Xiang-Rong Sheng, Feifan Yang, Litong Gong et al.22 citations
  26. HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection ↗Juho Jung, Chaewon Kang, Jeewoo Yoon et al.20 citations
  27. RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models ↗Dairui Liu, Boming Yang, Honghui Du et al.20 citations
  28. Urban Traffic Accident Risk Prediction Revisited: Regionality, Proximity, Similarity and Sparsity ↗Minxiao Chen, Haitao Yuan, Nan Jiang et al.20 citations
  29. Rethinking Attention Mechanism for Spatio-Temporal Modeling: A Decoupling Perspective in Traffic Flow Prediction ↗Qi Yu, Weilong Ding, Hao Zhang et al.19 citations
  30. When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks ↗Zhiyao Shu, Xiangguo Sun, Hong Cheng19 citations
  31. Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification ↗Hyunmin Choi, Ji‐Won Kim, Chiyoung Song et al.18 citations
  32. LLaVA-Chef: A Multi-modal Generative Model for Food Recipes ↗Mohbat Tharani, Mohammed Javeed Zaki18 citations
  33. Scalable Transformer for High Dimensional Multivariate Time Series Forecasting ↗Xin Zhou, Weiqing Wang, Wray Buntine et al.18 citations
  34. Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching ↗Yuyang Ding, Hanglei Hu, Jie Zhou et al.17 citations
  35. Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph ↗Qian Zhao, Hao Qian, Ziqi Liu et al.17 citations
  36. Collaborative Cross-modal Fusion with Large Language Model for Recommendation ↗Zhongzhou Liu, Hao Zhang, Kuicai Dong et al.17 citations
  37. Content-Based Collaborative Generation for Recommender Systems ↗Yidan Wang, Zhaochun Ren, Weiwei Sun et al.17 citations
  38. LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation ↗Yuhao Wang, Yichao Wang, Zichuan Fu et al.17 citations
  39. LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU ↗Peng Fei Zhu, Yuante Li, Yifan Hu et al.17 citations
  40. MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models ↗Yunjia Xi, Weiwen Liu, Jianghao Lin et al.17 citations
  41. DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning ↗Yingying Wang, Yun Xiong, Xixi Wu et al.16 citations
  42. MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction ↗Fanmeng Wang, Wentao Guo, Minjie Cheng et al.16 citations
  43. Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach ↗Yuxiang Guo, Shuanghong Shen, Qi Liu et al.16 citations
  44. Distilling Large Language Models for Text-Attributed Graph Learning ↗Bo Pan, Zheng Zhang, Yifei Zhang et al.15 citations
  45. Enhancing Relevance of Embedding-based Retrieval at Walmart ↗Juexin Lin, Sachin Yadav, Feng Liu et al.15 citations
  46. HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation ↗Lu Zhang, Ning Wu15 citations
  47. Hierarchical Structure Construction on Hypergraphs ↗Qi Luo, Wenjie Zhang, Zhengyi Yang et al.15 citations
  48. MuLe : Multi-Grained Graph Learning for Multi-Behavior Recommendation ↗Seunghan Lee, Geonwoo Ko, Hyun-Je Song et al.15 citations
  49. RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model ↗Peiwen Li, Xin Wang, Zeyang Zhang et al.15 citations
  50. Robust Federated Unlearning ↗Xinyi Sheng, Wei Bao, Liming Ge15 citations
  51. UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models ↗Qi Liu, Yongyi He, Tong Xu et al.15 citations
  52. Aligning Large Language Model with Direct Multi-Preference Optimization for Recommendation ↗Zhuoxi Bai, Ning Wu, Fengyu Cai et al.14 citations
  53. Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation ↗Baoyu Jing, Dawei Zhou, Kan Ren et al.14 citations
  54. Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models ↗Derong Xu, Ziheng Zhang, Zhihong Zhu et al.14 citations
  55. Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering ↗Yucheng Shi, Qiaoyu Tan, Xuansheng Wu et al.14 citations
  56. Why Misinformation is Created? Detecting them by Integrating Intent Features ↗Bing Wang, Ximing Li, LI Chang-chun et al.14 citations
  57. Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation ↗Chengkai Liu, Jianghao Lin, Hanzhou Liu et al.13 citations
  58. Efficient and Robust Regularized Federated Recommendation ↗Langming Liu, Wanyu Wang, Xiangyu Zhao et al.13 citations
  59. General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting ↗Cheng Feng, Long Huang, Denis Krompaß13 citations
  60. GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding ↗Yibo Yan, Joey Lee13 citations
  61. Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation ↗Guojun Liang, Prayag Tiwari, Sławomir Nowaczyk et al.13 citations
  62. LAMRec: Label-aware Multi-view Drug Recommendation ↗Yunsen Tang, Ning Liu, Haitao Yuan et al.13 citations
  63. LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection ↗Woochang Hyun, Insoo Lee, Bongwon Suh13 citations
  64. MV-BART: Multi-view BART for Multi-modal Sarcasm Detection ↗Xingjie Zhuang, Fengling Zhou, Zhixin Li13 citations
  65. Post-Quantum Searchable Encryption Supporting User-Authorization for Outsourced Data Management ↗Shiyuan Xu, Yibo Cao, Xue Chen et al.13 citations
  66. SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback ↗Kepu Zhang, Teng Shi, Sunhao Dai et al.13 citations
  67. Self-Supervision Improves Diffusion Models for Tabular Data Imputation ↗Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain et al.13 citations
  68. Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice ↗Eric Xu, Wenbin Zhang, Weifeng Xu13 citations
  69. UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints ↗Inzamamul Alam, Muhammad Shahid Muneer, Simon S. Woo13 citations
  70. Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples ↗Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan et al.12 citations
  71. DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting ↗Ruixin Ding, Yuqi Chen, Yu-Ting Lan et al.12 citations
  72. ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance ↗Ling-Hao Chen, Yuanshuo Zhang, Taohua Huang et al.12 citations
  73. Enhanced Retrieval Effectiveness through Selective Query Generation ↗Seyed Mohammad Bagher Hosseini, Negar Arabzadeh, Morteza Zihayat et al.12 citations
  74. Enhancing Content-based Recommendation via Large Language Model ↗Wentao Xu, Qianqian Xie, Shuo Yang et al.12 citations
  75. Explainable Stock Price Movement Prediction using Contrastive Learning ↗Kelvin Du, Rui Mao, Frank Xing et al.12 citations
  76. PTM-Mamba: A PTM-Aware Protein Language Model with Bidirectional Gated Mamba Blocks ↗Zhangzhi Peng12 citations
  77. Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations ↗Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli et al.12 citations
  78. Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems ↗Tianhao Shi, Yang Zhang, Zhijian Xu et al.12 citations
  79. Prompt-Based Spatio-Temporal Graph Transfer Learning ↗Junfeng Hu, Xu Liu, Zhencheng Fan et al.12 citations
  80. AI Agent for Information Retrieval: Generating and Ranking ↗Yongfeng Zhang, Zhiwei Liu, Qingsong Wen et al.11 citations
  81. AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach ↗Maryam Amirizaniani, Elias Martin, Tanya G. Roosta et al.11 citations
  82. Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks ↗Jie Peng, Runlin Lei, Zhewei Wei11 citations
  83. Bubble Sketch: A High-performance and Memory-efficient Sketch for Finding Top- k Items in Data Streams ↗Lu Cao, Qilong Shi, Yuxi Liu et al.11 citations
  84. Channel-Aware Low-Rank Adaptation in Time Series Forecasting ↗Tong Nie, Yuewen Mei, Guoyang Qin et al.11 citations
  85. Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting ↗Li Lin, Kaiwen Xia, Anqi Zheng et al.11 citations
  86. Hyperbolic Contrastive Learning for Cross-Domain Recommendation ↗Xin Yang, Heng Chang, Zhijian Lai et al.11 citations
  87. Post-Training Embedding Enhancement for Long-Tail Recommendation ↗Geon Lee, Kyung-Ho Kim, Kijung Shin11 citations
  88. iRAG: Advancing RAG for Videos with an Incremental Approach ↗Md Adnan Arefeen, Biplob K. Debnath, Md Yusuf Sarwar Uddin et al.11 citations
  89. Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models ↗W. Xie, Rui Zhou, Hao Wang et al.10 citations
  90. CancerKG.ORG - A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care ↗Michael N. Gubanov, Anna L. Pyayt, Aleksandra M. Karolak10 citations
  91. Frontiers of Large Language Model-Based Agentic Systems - Construction, Efficacy and Safety ↗Jia He, Reshmi Ghosh, Kabir Walia et al.10 citations
  92. Identifying Disinformation from Online Social Media via Dynamic Modeling across Propagation Stages ↗Shuai Xu, Jianqiu Xu, Shuo Yu et al.10 citations
  93. MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions ↗Qinchen Yang, Zejun Xie, Hua Wei et al.10 citations
  94. The Elusiveness of Detecting Political Bias in Language Models ↗Riccardo Lunardi, David La Barbera, Kevin Roitero10 citations
  95. UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendations ↗Yang Liu, Yitong Wang, Chenyue Feng10 citations
  96. Zero-shot Knowledge Graph Question Generation via Multi-agent LLMs and Small Models Synthesis ↗Runhao Zhao, Jiuyang Tang, Weixin Zeng et al.10 citations
  97. Aligning Large Language Models to a Domain-specific Graph Database for NL2GQL ↗Yuanyuan Liang, Keren Tan, Tingyu Xie et al.9 citations
  98. ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation ↗Peiyu Li, Xiaobao Huang, Yijun Tian et al.9 citations
  99. Collaborative Alignment for Recommendation ↗Chen Wang, Liangwei Yang, Zhiwei Liu et al.9 citations
  100. Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation ↗Weizhi Zhang, Liangwei Yang, Zihe Song et al.9 citations

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