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KDD 2022: all accepted papers

534 papers · page 1 of 6 · the most cited first · ← KDD 2022

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  1. GraphMAE: Self-Supervised Masked Graph Autoencoders ↗Zhenyu Hou, Xiao Liu, Yukuo Cen et al.618 citations
  2. FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients ↗Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia et al.340 citations
  3. Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting ↗Zezhi Shao, Zhao Zhang, Fei Wang et al.304 citations
  4. Towards Universal Sequence Representation Learning for Recommender Systems ↗Yupeng Hou, Shanlei Mu, Wayne Xin Zhao et al.304 citations
  5. Graph Neural Networks: Foundation, Frontiers and Applications ↗Lingfei Wu, Peng Cui, Jian Pei et al.213 citations
  6. Towards Representation Alignment and Uniformity in Collaborative Filtering ↗Chenyang Wang, Yuanqing Yu, Weizhi Ma et al.200 citations
  7. Causal Attention for Interpretable and Generalizable Graph Classification ↗Yongduo Sui, Xiang Wang, Jiancan Wu et al.189 citations
  8. ROLAND: Graph Learning Framework for Dynamic Graphs ↗Jiaxuan You, Tianyu Du, Jure Leskovec180 citations
  9. Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation ↗Yuhao Yang, Chao Huang, Lianghao Xia et al.175 citations
  10. GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks ↗Mingchen Sun, Kaixiong Zhou, Xin Zhi He et al.161 citations
  11. Self-Supervised Hypergraph Transformer for Recommender Systems ↗Lianghao Xia, Chao Huang, Chuxu Zhang161 citations
  12. Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning ↗Xiaolei Wang, Kun Zhou, Ji-Rong Wen et al.160 citations
  13. Graph-Flashback Network for Next Location Recommendation ↗Xuan Rao, Lisi Chen, Yong Liu et al.153 citations
  14. A New Generation of Perspective API: Efficient Multilingual Character-level TransformersAlyssa Lees, Vinh Q. Tran, Yi Tay et al.152 citations · our summary
  15. DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation ↗Birgit Pfitzmann, Christoph Auer, Michele Dolfi et al.150 citations
  16. Learned Token Pruning for Transformers ↗Sehoon Kim, Sheng Shen, David Thorsley et al.131 citations
  17. Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series ↗Siho Han, Simon S. Woo125 citations
  18. COSTA ↗Yifei Zhang, Hao Zhu, Zixing Song et al.116 citations
  19. Efficient Orthogonal Multi-view Subspace Clustering ↗Man-Sheng Chen, Chang‐Dong Wang, Dong Huang et al.116 citations
  20. Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting ↗Junchen Ye, Zihan Liu, Bowen Du et al.112 citations
  21. MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting ↗Dachuan Liu, Jin Wang, Shuo Shang et al.112 citations
  22. Graph Attention Multi-Layer Perceptron ↗Wentao Zhang, Ziqi Yin, Zeang Sheng et al.111 citations
  23. Contrastive Cross-domain Recommendation in Matching ↗Ruobing Xie, Qi Liu, Liangdong Wang et al.108 citations
  24. CrossCBR ↗Yunshan Ma, Yingzhi He, An Zhang et al.106 citations
  25. Multiplex Heterogeneous Graph Convolutional Network ↗Pengyang Yu, Chaofan Fu, Yanwei Yu et al.102 citations
  26. FedMSplit ↗Jiayi Chen, Aidong Zhang100 citations
  27. Global Self-Attention as a Replacement for Graph Convolution ↗Md. Shamim Hussain, Mohammed Javeed Zaki, Dharmashankar Subramanian97 citations
  28. M3Care: Learning with Missing Modalities in Multimodal Healthcare Data ↗Chaohe Zhang, Xu Chu, Liantao Ma et al.96 citations
  29. Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition ↗Mingjie Li, Zeyan Li, Kanglin Yin et al.95 citations
  30. Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer ↗Bin Lü, Xiaoying Gan, Weinan Zhang et al.94 citations
  31. Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation ↗Ruohan Zhan, Changhua Pei, Qiang Su et al.93 citations
  32. Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage ↗Yu Wang, Yuying Zhao, Yushun Dong et al.92 citations
  33. No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices ↗Ruixuan Liu, Fangzhao Wu, Chuhan Wu et al.90 citations
  34. Local Evaluation of Time Series Anomaly Detection Algorithms ↗Alexis Huet, Jose Manuel Navarro, Dario Rossi89 citations
  35. Multi-modal Siamese Network for Entity Alignment ↗Liyi Chen, Zhi Li, Tong Xu et al.89 citations
  36. TrajGAT ↗Di Yao, Haonan Hu, Lun Du et al.87 citations
  37. Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting ↗Yilun Jin, Kai Chen, Qiang Yang85 citations
  38. Graph Rationalization with Environment-based Augmentations ↗Gang Liu, Tong Zhao, Jiaxin Xu et al.82 citations
  39. KPGT ↗Han Li, Dan Yang Zhao, Jianyang Zeng77 citations
  40. Spatio-Temporal Trajectory Similarity Learning in Road Networks ↗Ziquan Fang, Yuntao Du, Xinjun Zhu et al.77 citations
  41. Condensing Graphs via One-Step Gradient Matching ↗Wei Jin, Xianfeng Tang, Haoming Jiang et al.76 citations
  42. Graph Neural Networks for Multimodal Single-Cell Data Integration ↗Hongzhi Wen, Jiayuan Ding, Wei Jin et al.74 citations
  43. Reliable Representations Make A Stronger Defender ↗Kuan Li, Yang Liu, Xiang Ao et al.74 citations
  44. FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning ↗Zhen Wang, Weirui Kuang, Yuexiang Xie et al.73 citations
  45. Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs ↗Da Zheng, Xiang Hui Song, Chengru Yang et al.72 citations
  46. Learning to Rotate ↗Weiqi Chen, Wenwei Wang, Bingqing Peng et al.69 citations
  47. Alexa Teacher Model ↗Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas et al.68 citations
  48. AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks ↗Tianyi Chen, Charalampos E. Tsourakakis68 citations
  49. TARNet ↗Ranak Roy Chowdhury, Xiyuan Zhang, Jingbo Shang et al.68 citations
  50. Learning Causal Effects on Hypergraphs ↗Jing Ma, Mengting Wan, Longqi Yang et al.66 citations
  51. What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? ↗Hangwei Qian, Tian Tian, Chunyan Miao66 citations
  52. FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling ↗Chuhan Wu, Fangzhao Wu, Tao Qi et al.65 citations
  53. Reinforcement Subgraph Reasoning for Fake News Detection ↗Ruichao Yang, Xiting Wang, Yiqiao Jin et al.63 citations
  54. RLogic: Recursive Logical Rule Learning from Knowledge Graphs ↗Kewei Cheng, Jiahao Liu, Wei Wang et al.62 citations
  55. Invariant Preference Learning for General Debiasing in Recommendation ↗Zimu Wang, Yue Hui He, Jiashuo Liu et al.61 citations
  56. MT-FlowFormer: A Semi-Supervised Flow Transformer for Encrypted Traffic Classification ↗Ruijie Zhao, Xianwen Deng, Zhicong Yan et al.61 citations
  57. HICF: Hyperbolic Informative Collaborative Filtering ↗Menglin Yang, Zhihao Li, Min Qi Zhou et al.60 citations
  58. Activity Trajectory Generation via Modeling Spatiotemporal Dynamics ↗Yuan Yuan, Jingtao Ding, Huandong Wang et al.56 citations
  59. PinnerFormer ↗Nikil Pancha, Andrew Zhai, Jure Leskovec et al.56 citations
  60. 4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation ↗Yanchao Tan, Chengjun Kong, Leisheng Yu et al.55 citations
  61. Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams ↗Yue Lu, Renjie Wu, Abdullah Mueen et al.54 citations
  62. Unified 2D and 3D Pre-Training of Molecular Representations ↗Jinhua Zhu, Yingce Xia, Lijun Wu et al.54 citations
  63. AdaFS: Adaptive Feature Selection in Deep Recommender System ↗Weilin Lin, Xiangyu Zhao, Yejing Wang et al.53 citations
  64. Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems ↗Qihua Zhang, Junning Liu, Yuzhuo Dai et al.53 citations
  65. Robust Time Series Analysis and Applications ↗Qingsong Wen, Linxiao Yang, Tian Zhou et al.52 citations
  66. Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning ↗Rongfan Li, Ting Zhong, Xinke Jiang et al.51 citations
  67. Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks ↗Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos et al.51 citations
  68. Joint Knowledge Graph Completion and Question Answering ↗Lihui Liu, Boxin Du, Jiejun Xu et al.50 citations
  69. Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems ↗Chen Ling, Junji Jiang, Junxiang Wang et al.50 citations
  70. A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud ↗Siqiao Xue, Chao Qu, Xiaoming Shi et al.49 citations
  71. Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation ↗Huarui He, Jie Wang, Zhanqiu Zhang et al.49 citations
  72. Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models ↗David Nigenda, Zohar S. Karnin, Muhammad Bilal Zafar et al.48 citations
  73. Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch ↗Yansheng Wang, Yongxin Tong, Zimu Zhou et al.48 citations
  74. Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks ↗Yanfu Zhang, Shangqian Gao, Jian Pei et al.48 citations
  75. A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction ↗Quanyu Dai, Haoxuan Li, Peng Wu et al.47 citations
  76. Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream ↗Susik Yoon, Youngjun Lee, Jae-Gil Lee et al.47 citations
  77. Knowledge-enhanced Black-box Attacks for Recommendations ↗Jingfan Chen, Wenqi Fan, Guanghui Zhu et al.47 citations
  78. Mask and Reason ↗Xiao Liu, Shiyu Zhao, Kai Su et al.47 citations
  79. CLARE ↗Xixi Wu, Yun Xiong, Yao Zhang et al.46 citations
  80. ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its Applications in Baidu Maps ↗Jizhou Huang, Haifeng Wang, Yibo Sun et al.46 citations
  81. Comprehensive Fair Meta-learned Recommender System ↗Tianxin Wei, Jingrui He45 citations
  82. Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction ↗Haomin Wen, Youfang Lin, Xiaowei Mao et al.45 citations
  83. TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation ↗Ahmed El-Kishky, Thomas Markovich, Serim Park et al.45 citations
  84. Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis ↗Sihao Ding, Peng Wu, Fuli Feng et al.43 citations
  85. HierCDF ↗Jiatong Li, Fei Wang, Qi Liu et al.43 citations
  86. Physics-infused Machine Learning for Crowd Simulation ↗Guozhen Zhang, Zihan Yu, Depeng Jin et al.43 citations
  87. Task-Adaptive Few-shot Node Classification ↗Song Wang, Kaize Ding, Chuxu Zhang et al.43 citations
  88. Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks ↗Wendong Bi, Bingbing Xu, Xiaoqian Sun et al.41 citations
  89. Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction ↗Liangzhe Han, Xiaojian Ma, Leilei Sun et al.41 citations
  90. EdgeWatch: Collaborative Investigation of Data Integrity at the Edge based on Blockchain ↗Bo Li, Qiang He, Yuan Liang et al.41 citations
  91. Model Degradation Hinders Deep Graph Neural Networks ↗Wentao Zhang, Zeang Sheng, Ziqi Yin et al.41 citations
  92. ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities ↗Yunjun Gao, Xiaoze Liu, Junyang Wu et al.40 citations
  93. ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest ↗Paul Baltescu, Haoyu Chen, Nikil Pancha et al.39 citations
  94. Surrogate for Long-Term User Experience in Recommender Systems ↗Yuyan Wang, Mohit Sharma, Can Xu et al.39 citations
  95. Training Large-Scale News Recommenders with Pretrained Language Models in the Loop ↗Shitao Xiao, Zheng Liu, Yingxia Shao et al.39 citations
  96. FreeKD ↗Kaituo Feng, Changsheng Li, Ye Yuan et al.38 citations
  97. Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival ↗Zebin Chen, Xiaolin Xiao, Yue‐Jiao Gong et al.38 citations
  98. Optimizing Long-Term Efficiency and Fairness in Ride-Hailing via Joint Order Dispatching and Driver Repositioning ↗Jiahui Sun, Haiming Jin, Zhaoxing Yang et al.38 citations
  99. RBG: Hierarchically Solving Large-Scale Routing Problems in Logistic Systems via Reinforcement Learning ↗Zefang Zong, Hansen Wang, Jingwei Wang et al.38 citations
  100. CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation ↗Yichao Wang, Huifeng Guo, Bo Chen et al.37 citations

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