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KDD 2024: all accepted papers

642 papers · page 3 of 7 · the most cited first · ← KDD 2024

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  1. Understanding the Ranking Loss for Recommendation with Sparse User Feedback ↗Zhutian Lin, Junwei Pan, Shangyu Zhang et al.11 citations
  2. Choosing a Proxy Metric from Past Experiments ↗Nilesh Tripuraneni, Lee F. Richardson, Alexander D’Amour et al.10 citations
  3. DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback ↗Yiqing Wu, Ruobing Xie, Zhao Zhang et al.10 citations
  4. DiffusionE: Reasoning on Knowledge Graphs via Diffusion-based Graph Neural Networks ↗Zongsheng Cao, Jing Li, Zigan Wang et al.10 citations
  5. Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning ↗Jiayuan Zhang, Xuefeng Liu, Yukang Zhang et al.10 citations
  6. FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting ↗Xinyu Zhang, Shanshan Feng, Jianghong Ma et al.10 citations
  7. Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition ↗Junghun Kim, Ka Hyun Park, Jun-Gi Jang et al.10 citations
  8. FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting ↗Ziqing Ma, Wenwei Wang, Tian Zhou et al.10 citations
  9. Inference Optimization of Foundation Models on AI Accelerators ↗Youngsuk Park, Kailash Budhathoki, Liangfu Chen et al.10 citations
  10. Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge ↗Yizhen Luo, Kai Yang, Massimo Hong et al.10 citations
  11. MISP: A Multimodal-based Intelligent Server Failure Prediction Model for Cloud Computing Systems ↗Xianting Lu, Yunong Wang, Yu Fu et al.10 citations
  12. Marrying Dialogue Systems with Data Visualization: Interactive Data Visualization Generation from Natural Language Conversations ↗Yuanfeng Song, Xuefang Zhao, Raymond Chi-Wing Wong10 citations
  13. Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization ↗Haohui Wang, Baoyu Jing, Kaize Ding et al.10 citations
  14. Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation ↗Xiaocong Chen, Siyu Wang, Lina Yao10 citations
  15. Probabilistic Attention for Sequential Recommendation ↗Y. B. Liu, Christian Walder, Lexing Xie et al.10 citations
  16. RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning ↗Congyun Jin, Ming Zhang, Weixiao Ma et al.10 citations
  17. Reserving-Masking-Reconstruction Model for Self-Supervised Heterogeneous Graph Representation ↗Haoran Duan, Cheng Xie, Linyu Li10 citations
  18. Resurrecting Label Propagation for Graphs with Heterophily and Label Noise ↗Yao Cheng, Caihua Shan, Yifei Shen et al.10 citations
  19. SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph ↗Ran Li, Shimin Di, Lei Chen et al.10 citations
  20. A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation ↗Shoujin Wang, Wentao Wang, Xiuzhen Zhang et al.9 citations
  21. Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction ↗Ke Cheng, Peng Linzhi, Junchen Ye et al.9 citations
  22. Cross-Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction ↗Ruijie Hou, Zhaoyang Yang, Yu Ming et al.9 citations
  23. DAG: Deep Adaptive and Generative K -Free Community Detection on Attributed Graphs ↗Chang Liu, Yuwen Yang, Yue Ding et al.9 citations
  24. DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization ↗Xin Yan Sun, Liang Wang, Qiang Liu et al.9 citations
  25. Efficient and Effective Implicit Dynamic Graph Neural Network ↗Yongjian Zhong, Hieu Vu, Tianbao Yang et al.9 citations
  26. FLAIM: AIM-based Synthetic Data Generation in the Federated Setting ↗Samuel Maddock, Graham Cormode, Carsten R. Maple9 citations
  27. FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks ↗Renqiang Luo, Huafei Huang, Shuo Yu et al.9 citations
  28. Future Impact Decomposition in Request-level Recommendations ↗Xiaobei Wang, Shuchang Liu, Xueliang Wang et al.9 citations
  29. Influence Maximization via Graph Neural Bandits ↗Yuting Feng, Vincent Y. F. Tan, Bogdan Cautis9 citations
  30. Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy ↗Yao Zhao, Zhitian Xie, Chen Liang et al.9 citations
  31. NudgeRank: Digital Algorithmic Nudging for Personalized Health ↗Jodi Chiam, Aloysius Lim, Ankur M. Teredesai9 citations
  32. One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes ↗Yuchang Zhu, Jintang Li, Yatao Bian et al.9 citations
  33. Online Drift Detection with Maximum Concept Discrepancy ↗Ke Wan, Yi Liang, Susik Yoon9 citations
  34. Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement ↗Yakun Wang, Daixin Wang, Hongrui Liu et al.9 citations
  35. ProCom: A Few-shot Targeted Community Detection Algorithm ↗Xixi Wu, Kaiyu Xiong, Yun Xiong et al.9 citations
  36. RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data ↗Chin‐Chia Michael Yeh, Yujie Fan, Xin Dai et al.9 citations
  37. Repeat-Aware Neighbor Sampling for Dynamic Graph Learning ↗Tao Zou, Yuhao Mao, Junchen Ye et al.9 citations
  38. Residual Multi-Task Learner for Applied Ranking ↗Cong Fu, Kun Wang, Jiahua Wu et al.9 citations
  39. Rethinking Order Dispatching in Online Ride-Hailing Platforms ↗Zhaoxing Yang, Haiming Jin, Guiyun Fan et al.9 citations
  40. Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck ↗Sangwoo Seo, Sungwon Kim, Jihyeong Jung et al.9 citations
  41. Self-Supervised Learning for Graph Dataset Condensation ↗Yuxiang Wang, Xiao Yan, Shiyu Jin et al.9 citations
  42. SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing ↗Changchang Yin, Pin-Yu Chen, Bingsheng Yao et al.9 citations
  43. Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs ↗Jiahuan Yan, Jintai Chen, Qianxing Wang et al.9 citations
  44. Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach ↗Yicong Li, Yu Yang, Jiannong Cao et al.9 citations
  45. VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection ↗Fei Xiao, Shaofeng Cai, Gang Chen et al.9 citations
  46. VertiMRF: Differentially Private Vertical Federated Data Synthesis ↗Fangyuan Zhao, Zitao Li, Xuebin Ren et al.9 citations
  47. Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions ↗Yaqing Wang, Hongming Piao, Daxiang Dong et al.9 citations
  48. When Box Meets Graph Neural Network in Tag-aware Recommendation ↗Fake Lin, Ziwei Zhao, Xi Zhu et al.9 citations
  49. A Novel Prompt Tuning for Graph Transformers: Tailoring Prompts to Graph Topologies ↗Jingchao Wang, Zhengnan Deng, T. Lin et al.8 citations
  50. Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark ↗Xiaowei Qian, Zhimeng Guo, Jialiang Li et al.8 citations
  51. Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously ↗Chen Zhao, Kai Jiang, Xintao Wu et al.8 citations
  52. Auctions with LLM Summaries ↗Avinava Dubey, Zhe Feng, Rahul Kidambi et al.8 citations
  53. Efficient and Effective Anchored Densest Subgraph Search: A Convex-programming based Approach ↗Xiaowei Ye, Rong-Hua Li, Lei Liang et al.8 citations
  54. FreQuant: A Reinforcement-Learning based Adaptive Portfolio Optimization with Multi-frequency Decomposition ↗Jihyeong Jeon, Jiwon Park, Chanhee Park et al.8 citations
  55. Harm Mitigation in Recommender Systems under User Preference Dynamics ↗Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala et al.8 citations
  56. Hate Speech Detection with Generalizable Target-aware Fairness ↗Tong Chen, Danny Wang, Xurong Liang et al.8 citations
  57. Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective ↗Kai Guo, Hongzhi Wen, Wei Jin et al.8 citations
  58. Learning Metrics that Maximise Power for Accelerated A/B-Tests ↗Olivier Jeunen, Aleksei Ustimenko8 citations
  59. LiRank: Industrial Large Scale Ranking Models at LinkedIn ↗Fedor Borisyuk, Mingzhou Zhou, Qingquan Song et al.8 citations
  60. MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction ↗Li Lin, Zhiqiang Lu, Shuai Wang et al.8 citations
  61. Offline Imitation Learning with Model-based Reverse Augmentation ↗Jie-Jing Shao, Hao-Sen Shi, Lan-Zhe Guo et al.8 citations
  62. Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning ↗Amit Sharma, Hua Li, Xue Li et al.8 citations
  63. TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics ↗Chang Liu, Jingtao Ding, Yiwen Song et al.8 citations
  64. The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field ↗Kun Wang, Guohao Li, Shilong Wang et al.8 citations
  65. Time-Aware Attention-Based Transformer (TAAT) for Cloud Computing System Failure Prediction ↗Lingfei Deng, Yunong Wang, Haoran Wang et al.8 citations
  66. Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks ↗Y.M. Wang, Shunyu Liu, Tongya Zheng et al.8 citations
  67. User Welfare Optimization in Recommender Systems with Competing Content Creators ↗Fan Yao, Yiming Liao, Mingzhe Wu et al.8 citations
  68. A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction ↗Jiahui Gong, Jingtao Ding, Fanjin Meng et al.7 citations
  69. ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising ↗Ruize Wang, Hui Xu, Ying Cheng et al.7 citations
  70. An Efficient Subgraph GNN with Provable Substructure Counting Power ↗Zuoyu Yan, Junru Zhou, L. Gao et al.7 citations
  71. Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare ↗Shenda Hong, Daoxin Yin, Gongzheng Tang et al.7 citations
  72. BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning ↗Yi Liu, Cong Wang, Xingliang Yuan7 citations
  73. Beimingwu: A Learnware Dock System ↗Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi et al.7 citations
  74. Causal Inference with Latent Variables: Recent Advances and Future Prospectives ↗Yaochen Zhu, Yinhan He, Jing Ma et al.7 citations
  75. DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation ↗Kairui Fu, Shengyu Zhang, Zheqi Lv et al.7 citations
  76. Effective Clustering on Large Attributed Bipartite Graphs ↗Renchi Yang, Yidu Wu, Xiaoyang Lin et al.7 citations
  77. Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs ↗Hewen Wang, Renchi Yang, Xiaokui Xiao7 citations
  78. FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation ↗Tong Xia, Abhirup Ghosh, Xinchi Qiu et al.7 citations
  79. Fast Multidimensional Partial Fourier Transform with Automatic Hyperparameter Selection ↗Yong-chan Park, Jong-Jin Kim, U Kang7 citations
  80. Gandalf: Learning Label-label Correlations in Extreme Multi-label Classification via Label Features ↗Siddhant Kharbanda, Devaansh Gupta, Erik Schultheis et al.7 citations
  81. GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications ↗Da Zheng, Xiang Song, Qi Zhu et al.7 citations
  82. Hierarchical Neural Constructive Solver for Real-world TSP Scenarios ↗Yong Liang Goh, Zhiguang Cao, Yining Ma et al.7 citations
  83. Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective ↗Haotian Zhang, Shuanghong Shen, Bihan Xu et al.7 citations
  84. Latent Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model ↗Yuxing Tian, Aiwen Jiang, Qi Huang et al.7 citations
  85. Learning the Covariance of Treatment Effects Across Many Weak Experiments ↗Aurélien Bibaut, Winston Chou, Simon Ejdemyr et al.7 citations
  86. Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series ↗Kohei Obata, Koki Kawabata, Yasuko Matsubara et al.7 citations
  87. Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling ↗Tianxiang Zhao, Dongsheng Luo, X. D. Zhang et al.7 citations
  88. Mutual Distillation Extracting Spatial-temporal Knowledge for Lightweight Multi-channel Sleep Stage Classification ↗Ziyu Jia, Haichao Wang, Yucheng Liu et al.7 citations
  89. Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation ↗Qingyao Li, Wei Xia, Liang Yin et al.7 citations
  90. Provable Adaptivity of Adam under Non-uniform Smoothness ↗Bohan Wang, Yushun Zhang, Huishuai Zhang et al.7 citations
  91. The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs ↗Kun Wang, Guibin Zhang, Xinnan Zhang et al.7 citations
  92. Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling ↗Siwei Zhang, Xi Chen, Yun Xiong et al.7 citations
  93. Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification ↗Beini Xie, Heng Chang, Ziwei Zhang et al.7 citations
  94. TrajRecovery: An Efficient Vehicle Trajectory Recovery Framework based on Urban-Scale Traffic Camera Records ↗Dongen Wu, Ziquan Fang, Qichen Sun et al.7 citations
  95. URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering ↗格 遠藤, Ting Mao, Chen Shen et al.7 citations
  96. A Hierarchical Context Augmentation Method to Improve Retrieval-Augmented LLMs on Scientific Papers ↗Tian-Yi Che, Xian-Ling Mao, Tian Lan et al.6 citations
  97. An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs ↗Zheng Gong, Ying Qiu Sun6 citations
  98. AsyncET: Asynchronous Representation Learning for Knowledge Graph Entity Typing ↗Yun-Cheng Wang, Xiou Ge, Bin Wang et al.6 citations
  99. Automatic Multi-Task Learning Framework with Neural Architecture Search in Recommendations ↗Shen Jiang, Guanghui Zhu, Yue Wang et al.6 citations
  100. Balanced Confidence Calibration for Graph Neural Networks ↗Hao Yang, Min Wang, Qi Wang et al.6 citations

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