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KDD 2024: all accepted papers

642 papers · page 1 of 7 · the most cited first · ← KDD 2024

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  1. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsWenqi Fan, Yujuan Ding, Liangbo Ning et al.795 citations · our summary
  2. Foundation Models for Time Series Analysis: A Tutorial and Survey ↗Yuxuan Liang, Haomin Wen, Yuqi Nie et al.225 citations
  3. UrbanGPT: Spatio-Temporal Large Language Models ↗Zhonghang Li, Lianghao Xia, Jiabin Tang et al.173 citations
  4. FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning ↗Weirui Kuang, Bingchen Qian, Zitao Li et al.137 citations
  5. Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System ↗Sein Kim, Hongseok Kang, Seungyoon Choi et al.133 citations
  6. Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era ↗Sunhao Dai, Xu Chen, Shicheng Xu et al.129 citations
  7. OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning ↗Rui Ye, Wenhao Wang, Jingyi Chai et al.127 citations
  8. A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys) ↗Yashar Deldjoo, Zhankui He, Julian McAuley et al.118 citations
  9. Fredformer: Frequency Debiased Transformer for Time Series Forecasting ↗Xihao Piao, Zheng Chen, Taichi Murayama et al.114 citations
  10. UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction ↗Yuan Yuan, Jingtao Ding, Jie Feng et al.112 citations
  11. ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation ↗Tong Nie, Guoyang Qin, Wei Ma et al.101 citations
  12. Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks ↗Jiaying Wu, Jiafeng Guo, Bryan Hooi97 citations
  13. Graph Mamba: Towards Learning on Graphs with State Space Models ↗Ali Behrouz, Farnoosh Hashemi80 citations
  14. FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model ↗Feijie Wu, Zitao Li, Yaliang Li et al.78 citations
  15. AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning ↗Qingsong Wen, Joleen Liang, Carles Sierra et al.77 citations
  16. EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis ↗Zhiwei Liu, Kailai Yang, Qianqian Xie et al.76 citations
  17. A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist ↗Wentao Zhang, Lingxuan Zhao, Haochong Xia et al.73 citations
  18. A Survey of Large Language Models for Graphs ↗Xubin Ren, Jiabin Tang, Dawei Yin et al.72 citations
  19. TnT-LLM: Text Mining at Scale with Large Language Models ↗Mengting Wan, Tara Safavi, Sujay Kumar Jauhar et al.71 citations
  20. Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting ↗Zheng Dong, Renhe Jiang, Haotian Gao et al.68 citations
  21. A Review of Graph Neural Networks in Epidemic Modeling ↗Zewen Liu, Guancheng Wan, B. Aditya Prakash et al.67 citations
  22. A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide ↗Sunwoo Kim, Soo Yong Lee, Yue Gao et al.60 citations
  23. FNSPID: A Comprehensive Financial News Dataset in Time Series ↗Zihan Dong, Fan Xinyu, Zhiyuan Peng60 citations
  24. Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey ↗Qijiong Liu, Jieming Zhu, Yanting Yang et al.60 citations
  25. LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models ↗Aoxiao Zhong, Dengyao Mo, Guiyang Liu et al.59 citations
  26. GEO: Generative Engine Optimization ↗Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit et al.56 citations
  27. Intelligent Agents with LLM-based Process Automation ↗Yanchu Guan, Dong Wang, Zhixuan Chu et al.53 citations
  28. ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model ↗Yuanshao Zhu, James J. Q. Yu, Xiangyu Zhao et al.52 citations
  29. Graph Bottlenecked Social Recommendation ↗Yonghui Yang, Le Wu, Zihan Wang et al.50 citations
  30. AutoWebGLM: A Large Language Model-based Web Navigating Agent ↗Hanyu Lai, Xiao Liu, Iat Long Iong et al.48 citations
  31. HiGPT: Heterogeneous Graph Language Model ↗Jiabin Tang, Yuhao Yang, Wei Wei et al.46 citations
  32. All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining ↗Haihong Zhao, Aochuan Chen, Xiangguo Sun et al.45 citations
  33. PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection ↗Ronghui Xu, Hao Miao, Senzhang Wang et al.45 citations
  34. Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection ↗Junyou Zhu, Chao Gao, Ze Yin et al.45 citations
  35. GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing ↗Chengqing Yu, Fei Wang, Zezhi Shao et al.44 citations
  36. ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification ↗Xuan-May Le, Ling Luo, Uwe Aickelin et al.42 citations
  37. CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation ↗Junda Wu, Cheng-Chun Chang, Tong Yu et al.41 citations
  38. Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation ↗Xinyu Lin, Wenjie Wang, Yongqi Li et al.40 citations
  39. Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective ↗Yunfei Liu, Jintang Li, Yuehe Chen et al.40 citations
  40. FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs ↗Shanshan Han, Baturalp Buyukates, Zijian Hu et al.39 citations
  41. Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback ↗Guipeng Xv, Xinyu Li, Ruobing Xie et al.39 citations
  42. LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? ↗Zeyang Zhang, Xin Wang, Ziwei Zhang et al.39 citations
  43. RareBench: Can LLMs Serve as Rare Diseases Specialists? ↗Xuanzhong Chen, Xiaohao Mao, Qihan Guo et al.39 citations
  44. Generative Pretrained Hierarchical Transformer for Time Series Forecasting ↗Zhiding Liu, Jiqian Yang, Mingyue Cheng et al.38 citations
  45. Urban Foundation Models: A Survey ↗Weijia Zhang, Jindong Han, Xu Zhao et al.38 citations
  46. Dataset Regeneration for Sequential Recommendation ↗Mingjia Yin, Hao Wang, Wei Guo et al.37 citations
  47. GPFedRec: Graph-Guided Personalization for Federated Recommendation ↗Chunxu Zhang, Guodong Long, Tianyi Zhou et al.37 citations
  48. EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration ↗Ye Wang, Jiahao Xun, Minjie Hong et al.36 citations
  49. DyGKT: Dynamic Graph Learning for Knowledge Tracing ↗Ke Cheng, Linzhi Peng, Pengyang Wang et al.35 citations
  50. Neural Retrievers are Biased Towards LLM-Generated Content ↗Sunhao Dai, Yuqi Zhou, Liang Pang et al.35 citations
  51. Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization ↗Sheo Yon Jhin, Seojin Kim, Noseong Park34 citations
  52. Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey) ↗Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly34 citations
  53. ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation ↗Shanshan Feng, Feiyu Meng, Lisi Chen et al.33 citations
  54. Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias ↗Miaomiao Cai, Lei Chen, Yifan Wang et al.32 citations
  55. SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection ↗Yingguang Yang, Qi Wu, Buyun He et al.32 citations
  56. Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations ↗Jing Long, Guanhua Ye, Tong Chen et al.29 citations
  57. Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks ↗Weijia Zhang, Le Zhang, Jindong Han et al.29 citations
  58. RecExplainer: Aligning Large Language Models for Explaining Recommendation Models ↗Yuxuan Lei, Jianxun Lian, Jing Yao et al.29 citations
  59. Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask ↗Zineb Senane, Lele Cao, Valentin Buchner et al.29 citations
  60. Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering ↗Yihong Wu, Le Zhang, Fengran Mo et al.29 citations
  61. Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination ↗Ming Hu, Zhihao Yue, Xiaofei Xie et al.28 citations
  62. Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction ↗Zhangtao Cheng, Jienan Zhang, Xovee Xu et al.28 citations
  63. SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning ↗J. K. Lee, Sunwoo Kim, Kijung Shin28 citations
  64. An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions ↗Fudong Lin, Kaleb Guillot, Summer Crawford et al.25 citations
  65. GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models ↗Yi Fang, Dongzhe Fan, Daochen Zha et al.25 citations
  66. Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space ↗Menglin Yang, Harshit Verma, Delvin Ce Zhang et al.25 citations
  67. Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective ↗Zhiwei Zhang, Minhua Lin, Enyan Dai et al.25 citations
  68. SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning ↗K.C. Li, Tianmeng Yang, Min Zhou et al.25 citations
  69. ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs ↗Yuhan Li, Peisong Wang, Zhixun Li et al.25 citations
  70. EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs ↗Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane et al.24 citations
  71. Generative Auto-bidding via Conditional Diffusion Modeling ↗Jiayan Guo, Yusen Huo, Zhilin Zhang et al.24 citations
  72. Noisy Label Removal for Partial Multi-Label Learning ↗Fuchao Yang, Yuheng Jia, Hui Liu et al.24 citations
  73. STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts ↗Binwu Wang, Jiaming Ma, Pengkun Wang et al.24 citations
  74. CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control ↗Jingqing Ruan, Ziyue Li, Hua Wei et al.23 citations
  75. Integrating System State into Spatio Temporal Graph Neural Network for Microservice Workload Prediction ↗Yang Luo, Mohan Gao, Zhemeng Yu et al.23 citations
  76. LiGNN: Graph Neural Networks at LinkedIn ↗Fedor Borisyuk, Shihai He, Yunbo Ouyang et al.23 citations
  77. Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks ↗Yijie Zhang, Yuanchen Bei, Hao Chen et al.23 citations
  78. Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models ↗Zhibo Hu, Chen Wang, Yanfeng Shu et al.23 citations
  79. SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns ↗Yuye Feng, Wei Zhang, Yao Fu et al.23 citations
  80. Ads Recommendation in a Collapsed and Entangled World ↗Junwei Pan, Wei Xue, Ximei Wang et al.22 citations
  81. GraphWiz: An Instruction-Following Language Model for Graph Computational Problems ↗Nuo Chen, Yuhan Li, Jianheng Tang et al.22 citations
  82. MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning ↗Bingchang Liu, Chaoyu Chen, Zi Gong et al.22 citations
  83. On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- n Recommendation ↗Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko22 citations
  84. Path-based Explanation for Knowledge Graph Completion ↗Heng Chang, Jiangnan Ye, Alejo Lopez-Avila et al.22 citations
  85. Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks ↗Zongwei Wang, Junliang Yu, Min Gao et al.22 citations
  86. CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation ↗Fan Wang, Chaochao Chen, Weiming Liu et al.21 citations
  87. Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift ↗Mouxiang Chen, Lefei Shen, Han Fu et al.21 citations
  88. CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent ↗Liangbo Ning, Shijie Wang, Wenqi Fan et al.21 citations
  89. Disentangled Multi-interest Representation Learning for Sequential Recommendation ↗Yingpeng Du, Ziyan Wang, Zhu Sun et al.21 citations
  90. Double Correction Framework for Denoising Recommendation ↗Zhuangzhuang He, Yifan Wang, Yonghui Yang et al.21 citations
  91. Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction ↗Wenzhao Jiang, Jindong Han, Hao Liu et al.21 citations
  92. Multivariate Log-based Anomaly Detection for Distributed Database ↗Lingzhe Zhang, Tong Jia, Mengxi Jia et al.21 citations
  93. On the Convergence of Zeroth-Order Federated Tuning for Large Language Models ↗Zhenqing Ling, Daoyuan Chen, Liuyi Yao et al.21 citations
  94. QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering ↗Junyang Chen, Yuzhu Ji, Rong Zou et al.21 citations
  95. ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations ↗Congxi Xiao, Jingbo Zhou, Yixiong Xiao et al.21 citations
  96. Brant-X: A Unified Physiological Signal Alignment Framework ↗Daoze Zhang, Zhizhang Yuan, Junru Chen et al.20 citations
  97. FedNLR: Federated Learning with Neuron-wise Learning Rates ↗Haozhao Wang, Peirong Zheng, Xingshuo Han et al.20 citations
  98. How Powerful is Graph Filtering for Recommendation ↗Shaowen Peng, Xin Liu, Kazunari Sugiyama et al.20 citations
  99. MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge ↗Yuning Chen, Kang Yang, Zhiyu An et al.20 citations
  100. Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space ↗Zhe Xie, Shenglin Zhang, Yitong Geng et al.20 citations

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