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KDD 2022: all accepted papers

534 papers · page 2 of 6 · the most cited first · ← KDD 2022

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  1. Streaming Graph Neural Networks with Generative Replay ↗Junshan Wang, Wenhao Zhu, Guojie Song et al.37 citations
  2. Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing ↗Weijia Zhang, Hao Liu, Jindong Han et al.36 citations
  3. Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters ↗Xiangru Lian, Binhang Yuan, Xuefeng Zhu et al.36 citations
  4. Seq2Event: Learning the Language of Soccer Using Transformer-based Match Event Prediction ↗Ian Simpson, Ryan Beal, Duncan Locke et al.36 citations
  5. SMORE ↗Hongyu Ren, Hanjun Dai, Bo Dai et al.35 citations
  6. Semantic Retrieval at Walmart ↗Alessandro Magnani, Feng Liu, Suthee Chaidaroon et al.35 citations
  7. Ultrahyperbolic Knowledge Graph Embeddings ↗Bo Xiong, Shichao Zhu, Mojtaba Nayyeri et al.35 citations
  8. RGVisNet ↗Yuanfeng Song, Xuefang Zhao, Raymond Chi-Wing Wong et al.34 citations
  9. Service Time Prediction for Delivery Tasks via Spatial Meta-Learning ↗Sijie Ruan, Cheng Long, Zhipeng Ma et al.34 citations
  10. Availability Attacks Create Shortcuts ↗Yu Da, Huishuai Zhang, Wei Ren Chen et al.33 citations
  11. CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences ↗Shengming Zhang, Yanchi Liu, Xuchao Zhang et al.33 citations
  12. Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data ↗Di Chai, Leye Wang, Junxue Zhang et al.33 citations
  13. Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph ↗Aiwei Liu, Xuming Hu, Li Lin et al.33 citations
  14. CommerceMM ↗Licheng Yu, Jun Chen, Animesh Sinha et al.32 citations
  15. DESCN ↗Kailiang Zhong, Fengtong Xiao, Yan Ren et al.32 citations
  16. How does Heterophily Impact the Robustness of Graph Neural Networks? ↗Jiong Zhu, Junchen Jin, Donald Loveland et al.32 citations
  17. Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator ↗Tailin Wu, Qinchen Wang, Yinan Zhang et al.32 citations
  18. Motif Prediction with Graph Neural Networks ↗Maciej Besta, Raphael Grob, Cesare Miglioli et al.32 citations
  19. OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services ↗Xiao Liu, Da Yin, Jingnan Zheng et al.32 citations
  20. Predicting Opinion Dynamics via Sociologically-Informed Neural Networks ↗Maya Okawa, Tomoharu Iwata32 citations
  21. DuARE: Automatic Road Extraction with Aerial Images and Trajectory Data at Baidu Maps ↗Jianzhong Yang, Xiaoqing Ye, Bin Wu et al.31 citations
  22. Feature Overcorrelation in Deep Graph Neural Networks ↗Wei Jin, Xiaorui Liu, Yao Ma et al.31 citations
  23. Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation ↗Zihan Lin, Hui Wang, Jingshu Mao et al.31 citations
  24. In Defense of Core-set: A Density-aware Core-set Selection for Active Learning ↗Yeachan Kim, Bonggun Shin31 citations
  25. Learning Fair Representation via Distributional Contrastive Disentanglement ↗Changdae Oh, Heeji Won, Junhyuk So et al.31 citations
  26. Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing ↗Lihan Wang, Bowen Qin, Binyuan Hui et al.31 citations
  27. Efficient Join Order Selection Learning with Graph-based Representation ↗Jin Chen, Guanyu Ye, Yan Li Zhao et al.30 citations
  28. Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction ↗Dongjie Wang, Yanjie Fu, Kunpeng Liu et al.30 citations
  29. Learning on Graphs with Out-of-Distribution Nodes ↗Yu Song, Donglin Wang30 citations
  30. Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace ↗Soheil Sadeghi Eshkevari, Xiaocheng Tang, Zhiwei Tony Qin et al.30 citations
  31. Towards Learning Disentangled Representations for Time Series ↗Yuening Li, Zhengzhang Chen, Daochen Zha et al.30 citations
  32. Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification ↗Zixing Song, Yifei Zhang, Irwin King30 citations
  33. Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search ↗Jianjin Zhang, Zheng Liu, Weihao Han et al.30 citations
  34. Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification ↗Xiao Zhang, Sunhao Dai, Jun Xu et al.29 citations
  35. Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme ↗Chongsheng Zhang, Bin Wang, Ke Chen et al.29 citations
  36. GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks ↗Weihao Song, Yushun Dong, Ninghao Liu et al.29 citations
  37. Graph Structural Attack by Perturbing Spectral Distance ↗Lin Tao Lü, Ethan Blaser, Hongning Wang29 citations
  38. On Structural Explanation of Bias in Graph Neural Networks ↗Yushun Dong, Song Wang, Yu Wang et al.29 citations
  39. Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks ↗Zhiyuan Wang, Fan Zhou, Wenxuan Zeng et al.28 citations
  40. Debiasing Learning for Membership Inference Attacks Against Recommender Systems ↗Zihan Wang, Na Huang, Fei Sun et al.28 citations
  41. Enhancing Machine Learning Approaches for Graph Optimization Problems with Diversifying Graph Augmentation ↗Chen-Hsu Yang, Chih-Ya Shen28 citations
  42. M-Mix ↗Shaofeng Zhang, Meng Liu, Junchi Yan et al.28 citations
  43. RES: A Robust Framework for Guiding Visual Explanation ↗Yuyang Gao, Tong Sun, Guangji Bai et al.28 citations
  44. ReprBERT: Distilling BERT to an Efficient Representation-Based Relevance Model for E-Commerce ↗Shaowei Yao, Jiwei Tan, Xi Chen et al.28 citations
  45. Spatio-Temporal Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data ↗Fudan Yu, Wenxuan Ao, Huan Yan et al.28 citations
  46. Augmenting Log-based Anomaly Detection Models to Reduce False Anomalies with Human Feedback ↗Tong Jia, Ying Li, Yong Yang et al.27 citations
  47. Counterfactual Phenotyping with Censored Time-to-Events ↗Chirag Nagpal, Mononito Goswami, Keith Dufendach et al.27 citations
  48. DDR: Dialogue Based Doctor Recommendation for Online Medical Service ↗Zhi Zheng, Zhaopeng Qiu, Hui Yun Xiong et al.27 citations
  49. Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking ↗Yuta Saito, Thorsten Joachims27 citations
  50. Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation ↗Yankai Chen, Huifeng Guo, Yingxue Zhang et al.27 citations
  51. Multi-Aspect Dense Retrieval ↗Weize Kong, Swaraj Khadanga, Cheng Li et al.27 citations
  52. Accurate Node Feature Estimation with Structured Variational Graph Autoencoder ↗Jaemin Yoo, Hyunsik Jeon, Jinhong Jung et al.26 citations
  53. Bilateral Dependency Optimization ↗Peng Xiong, Feng Liu, Jingfeng Zhang et al.26 citations
  54. HyperLogLogLog ↗Matti Karppa, Rasmus Pagh26 citations
  55. Packet Representation Learning for Traffic Classification ↗Xuying Meng, Yequan Wang, Runxin Ma et al.26 citations
  56. Partial Label Learning with Discrimination Augmentation ↗Wei Wang, Min-Ling Zhang26 citations
  57. Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems ↗Hima Patel, Shanmukha Guttula, Ruhi Sharma Mittal et al.25 citations
  58. Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems ↗Yixin Su, Yunxiang Zhao, Sarah Erfani et al.25 citations
  59. Disentangled Ontology Embedding for Zero-shot Learning ↗Yuxia Geng, Jiaoyan Chen, Wen Zhang et al.25 citations
  60. GraphWorld ↗John Palowitch, Anton Tsitsulin, Brandon Mayer et al.25 citations
  61. Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection ↗Han Liu, Feng Zhang, Xiaotong Zhang et al.25 citations
  62. MetroGAN: Simulating Urban Morphology with Generative Adversarial Network ↗Weiyu Zhang, Yiyang Ma, Di Zhu et al.25 citations
  63. Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation ↗Weili Shi, Ronghang Zhu, Sheng Li25 citations
  64. Communication-Efficient Robust Federated Learning with Noisy Labels ↗Junyi Li, Jian Pei, Heng Huang24 citations
  65. Incremental Cognitive Diagnosis for Intelligent Education ↗Shiwei Tong, Jiayu Liu, Yuting Hong et al.24 citations
  66. Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems ↗Yudong Liu, Hailan Yang, Pu Zhao et al.24 citations
  67. Reinforcement Learning-based Placement of Charging Stations in Urban Road Networks ↗Leonie von Wahl, Nicolas Tempelmeier, Ashutosh Sao et al.24 citations
  68. RetroGraph ↗Shufang Xie, Rui Yan, Peng Han et al.24 citations
  69. Submodular Feature Selection for Partial Label Learning ↗Wei-Xuan Bao, Jun-Yi Hang, Min-Ling Zhang24 citations
  70. A/B Testing Intuition Busters ↗Ron Kohavi, Alex Deng, Lukas Vermeer23 citations
  71. Adaptive Fairness-Aware Online Meta-Learning for Changing Environments ↗Chen Zhao, Feng Mi, Xintao Wu et al.23 citations
  72. BrainNet ↗Junru Chen, Yang Yang, Tao Yu et al.23 citations
  73. Friend Recommendations with Self-Rescaling Graph Neural Networks ↗Xiran Song, Jianxun Lian, Hong Huang et al.23 citations
  74. MetaPTP ↗Yuan Xu, Jiajie Xu, Jing Zhao et al.23 citations
  75. MetaV ↗Xudong Pan, Yifan Yan, Mi Zhang et al.23 citations
  76. Modeling Network-level Traffic Flow Transitions on Sparse Data ↗Xiaoliang Lei, Hao Mei, Bin Shi et al.23 citations
  77. On-Device Learning for Model Personalization with Large-Scale Cloud-Coordinated Domain Adaption ↗Yikai Yan, Chaoyue Niu, Renjie Gu et al.23 citations
  78. Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks ↗Shengyu Chen, Jacob A. Zwart, Xiaowei Jia23 citations
  79. Predicting Bearings Degradation Stages for Predictive Maintenance in the Pharmaceutical Industry ↗Dovile Juodelyte, Veronika Cheplygina, Therese Graversen et al.23 citations
  80. Scale Calibration of Deep Ranking Models ↗Le Wei Yan, Zhen Qin, Xuanhui Wang et al.23 citations
  81. AutoShard: Automated Embedding Table Sharding for Recommender Systems ↗Daochen Zha, Louis Feng, Bhargav Bhushanam et al.22 citations
  82. Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand ↗Daniele Gammelli, Kaidi Yang, James Harrison et al.22 citations
  83. Instant Graph Neural Networks for Dynamic Graphs ↗Yanping Zheng, Hanzhi Wang, Zhewei Wei et al.22 citations
  84. Make Fairness More Fair ↗Jiayin Wang, Weizhi Ma, Jiayu Li et al.22 citations
  85. MolSearch ↗Mengying Sun, Jing Xing, Meng Han et al.22 citations
  86. Subset Node Anomaly Tracking over Large Dynamic Graphs ↗Xingzhi Guo, Baojian Zhou, Steven Skiena22 citations
  87. EXTR: Click-Through Rate Prediction with Externalities in E-Commerce Sponsored Search ↗Chi Chen, Hui Chen, Kangzhi Zhao et al.21 citations
  88. Effective Social Network-Based Allocation of COVID-19 Vaccines ↗Jiangzhuo Chen, Stefan Hoops, Achla Marathe et al.21 citations
  89. FedWalk ↗Qiying Pan, Yifei Zhu21 citations
  90. Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer ↗Qiannan Zhang, Xiaodong Wu, Qiang Yang et al.21 citations
  91. Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values ↗Zijie J. Wang, Alex M. Kale, Harsha Nori et al.21 citations
  92. Multi-Variate Time Series Forecasting on Variable Subsets ↗Jatin Chauhan, Aravindan Raghuveer, Rishi Saket et al.21 citations
  93. On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification ↗Erik Schultheis, Marek Wydmuch, Rohit Babbar et al.21 citations
  94. Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation ↗Zhebin Wu, Lin Shu, Ziyue Xu et al.21 citations
  95. SOS ↗Jayoung Kim, Chaejeong Lee, Yehjin Shin et al.21 citations
  96. State Dependent Parallel Neural Hawkes Process for Limit Order Book Event Stream Prediction and Simulation ↗Zijian Shi, John Cartlidge21 citations
  97. Trustworthy Graph Learning ↗Bingzhe Wu, Yatao Bian, Hengtong Zhang et al.21 citations
  98. Connecting Low-Loss Subspace for Personalized Federated Learning ↗Seok-Ju Hahn, Minwoo Jeong, Junghye Lee20 citations
  99. Contrastive Learning with Complex Heterogeneity ↗Lecheng Zheng, Jinjun Xiong, Yan Zhu et al.20 citations
  100. GBPNet ↗Sarp Aykent, Tian Xia20 citations

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