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KDD 2020: all accepted papers

420 papers · page 1 of 5 · the most cited first · ← KDD 2020

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  1. Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks ↗Zonghan Wu, Shirui Pan, Guodong Long et al.2,001 citations
  2. USAD ↗Julien Audibert, Pietro Michiardi A, Frédéric Guyard et al.1,065 citations
  3. DeepSpeed ↗Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase et al.815 citations
  4. GCC ↗Jiezhong Qiu, Qibin Chen, Yuxiao Dong et al.777 citations
  5. LayoutLM: Pre-training of Text and Layout for Document Image UnderstandingYiheng Xu, Minghao Li, Lei Cui et al.709 citations · our summary
  6. Graph Structure Learning for Robust Graph Neural Networks ↗Wei Jin, Yao Ma, Xiaorui Liu et al.644 citations
  7. Context-Aware Attentive Knowledge TracingAritra Ghosh, Neil Thomas Heffernan, Andrew Lan580 citations · our summary
  8. Towards Deeper Graph Neural Networks ↗Meng Liu, Hongyang Gao, Shuiwang Ji507 citations
  9. Robust Deep Learning Methods for Anomaly Detection ↗Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla502 citations
  10. AM-GCN: Adaptive Multi-channel Graph Convolutional Networks ↗Xiao Wang, Meiqi Zhu, Deyu Bo et al.495 citations
  11. On Sampled Metrics for Item Recommendation ↗Walid Krichene, Steffen Rendle495 citations
  12. GPT-GNN ↗Ziniu Hu, Yuxiao Dong, Kuansan Wang et al.446 citations
  13. Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data ↗Chloë Brown, Jagmohan Chauhan, Andreas Grammenos et al.440 citations
  14. Scaling Graph Neural Networks with Approximate PageRank ↗Aleksandar Bojchevski, Johannes Gasteiger, Bryan Perozzi et al.371 citations
  15. Controllable Multi-Interest Framework for Recommendation ↗Yukuo Cen, Jianwei Zhang, Xu Zou et al.338 citations
  16. Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion ↗Kun Zhou, Wayne Xin Zhao, Shuqing Bian et al.321 citations
  17. Overview and Importance of Data Quality for Machine Learning Tasks ↗Abhinav Jain, Hima Patel, Lokesh Nagalapatti et al.293 citations
  18. Handling Information Loss of Graph Neural Networks for Session-based Recommendation ↗Tianwen Chen, Raymond Chi-Wing Wong287 citations
  19. Embedding-based Retrieval in Facebook Search ↗Jui-Ting Huang, Ashish Sharma, Shuying Sun et al.276 citations
  20. Towards Physics-informed Deep Learning for Turbulent Flow Prediction ↗Rui Wang, Karthik Kashinath, Mustafa Mustafa et al.273 citations
  21. XGNN: Towards Model-Level Explanations of Graph Neural Networks ↗Hao Yuan, Jiliang Tang, Xia Hu et al.272 citations
  22. Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation ↗Yuanfu Lu, Yuan Fang, Chuan Shi259 citations
  23. Geography-Aware Sequential Location Recommendation ↗Defu Lian, Yongji Wu, Yong Ge et al.253 citations
  24. Adaptive Graph Encoder for Attributed Graph Embedding ↗Ganqu Cui, Jie Zhou, Cheng Yang et al.235 citations
  25. MoFlow: An Invertible Flow Model for Generating Molecular Graphs ↗Chengxi Zang, Fei Wang227 citations
  26. Disentangled Self-Supervision in Sequential Recommenders ↗Jianxin Ma, Chang Zhou, Hongxia Yang et al.225 citations
  27. Dual Channel Hypergraph Collaborative Filtering ↗Shuyi Ji, Yifan Feng, Rongrong Ji et al.224 citations
  28. FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems ↗Khalil Muhammad, Qinqin Wang, Diarmuid O’Reilly-Morgan et al.217 citations
  29. Taming Pretrained Transformers for Extreme Multi-label Text Classification ↗Wei-Cheng Chang, Hsiang‐Fu Yu, Kai Zhong et al.217 citations
  30. HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records ↗Junyu Luo, Muchao Ye, Cao Xiao et al.196 citations
  31. Understanding Negative Sampling in Graph Representation Learning ↗Zhen Yang, Ming Ding, Chang Zhou et al.190 citations
  32. AutoFIS ↗Bin Liu, Chenxu Zhu, Guilin Li et al.171 citations
  33. MAMO ↗Manqing Dong, Yuan Feng, Lina Yao et al.167 citations
  34. ConSTGAT ↗Xiaomin Fang, Jizhou Huang, Fan Wang et al.166 citations
  35. An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks ↗Ruixiang Tang, Mengnan Du, Ninghao Liu et al.165 citations
  36. DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation ↗Limeng Cui, Haeseung Seo, Maryam Tabar et al.163 citations
  37. Interactive Path Reasoning on Graph for Conversational Recommendation ↗Wenqiang Lei, Gangyi Zhang, Xiangnan He et al.162 citations
  38. Learning to Simulate Human Mobility ↗Jie Feng, Zeyu Yang, Fengli Xu et al.150 citations
  39. Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data ↗Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook141 citations
  40. Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction ↗Hongxu Chen, Hongzhi Yin, Xiangguo Sun et al.138 citations
  41. PinnerSage ↗Aditya Pal, Chantat Eksombatchai, Yitong Zhou et al.124 citations
  42. RayS: A Ray Searching Method for Hard-label Adversarial Attack ↗Jinghui Chen, Quanquan Gu121 citations
  43. BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision ↗Chen Liang, Yue Yu, Haoming Jiang et al.120 citations
  44. Hybrid Spatio-Temporal Graph Convolutional Network ↗Rui Dai, Shenkun Xu, Qian Gu et al.120 citations
  45. NodeAug: Semi-Supervised Node Classification with Data Augmentation ↗Yiwei Wang, Wei Wang, Yuxuan Liang et al.120 citations
  46. ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction ↗Zhongkai Hao, Chengqiang Lu, Zhenya Huang et al.115 citations
  47. An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph ↗Jiarui Jin, Jiarui Qin, Yuchen Fang et al.112 citations
  48. Learning Effective Road Network Representation with Hierarchical Graph Neural Networks ↗Ning Wu, Xin Zhao, Jingyuan Wang et al.112 citations
  49. Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data ↗Jizhou Huang, Haifeng Wang, Miao Fan et al.109 citations
  50. HetETA ↗Huiting Hong, Yu‐Cheng Lin, Xiaoqing Yang et al.108 citations
  51. Dynamic Knowledge Graph based Multi-Event Forecasting ↗Songgaojun Deng, Huzefa Rangwala, Yue Ning107 citations
  52. WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams ↗Jizhou Li, Zikun Li, Yifei Xu et al.105 citations
  53. InFoRM: Individual Fairness on Graph Mining ↗Jian Li Kang, Jingrui He, Ross Maciejewski et al.103 citations
  54. A Data-Driven Graph Generative Model for Temporal Interaction Networks ↗Dawei Zhou, Lecheng Zheng, Jiawei Han et al.99 citations
  55. Aligning Superhuman AI with Human Behavior ↗Reid McIlroy-Young, Siddhartha Sen, Jon M. Kleinberg et al.99 citations
  56. Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns ↗Qingsong Wen, Zhe Zhang, Yan Li et al.96 citations
  57. Multimodal Learning with Incomplete Modalities by Knowledge Distillation ↗Qi Wang, Liang Zhan, Paul M. Thompson et al.96 citations
  58. Neural Input Search for Large Scale Recommendation Models ↗Manas Joglekar, Cong Li, Mei Chen et al.96 citations
  59. HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness ↗Jiayi Chen, Aidong Zhang94 citations
  60. Multitask Mixture of Sequential Experts for User Activity Streams ↗Zhen Qin, Yicheng Cheng, Zhe Zhao et al.92 citations
  61. A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks ↗Jianing Sun, Wei Guo, Dengcheng Zhang et al.88 citations
  62. Policy-GNN: Aggregation Optimization for Graph Neural Networks ↗Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou et al.88 citations
  63. Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems ↗Hao-Jun Michael Shi, Dheevatsa Mudigere, Maxim Naumov et al.87 citations
  64. Hypergraph Convolutional Recurrent Neural Network ↗Jaehyuk Yi, Jinkyoo Park86 citations
  65. AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction ↗Ting Li, Junbo Zhang, Kainan Bao et al.84 citations
  66. Evaluating Conversational Recommender Systems via User Simulation ↗Shuo Zhang, Krisztian Balog84 citations
  67. HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units ↗Shenda Hong, Yanbo Xu, Alind Khare et al.84 citations
  68. Efficiently Solving the Practical Vehicle Routing Problem ↗Lu Duan, Yang Zhan, Haoyuan Hu et al.82 citations
  69. M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems ↗Menghan Wang, Yujie Lin, Guli Lin et al.82 citations
  70. SEAL ↗Yao Zhang, Yun Xiong, Yun Ye et al.81 citations
  71. TinyGNN: Learning Efficient Graph Neural Networks ↗Bencheng Yan, Chaokun Wang, Gaoyang Guo et al.81 citations
  72. Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach ↗Qifan Wang, Yang Li, Bhargav Kanagal et al.77 citations
  73. CompactETA ↗Kun Fu, Fanlin Meng, Jieping Ye et al.76 citations
  74. Jointly Learning to Recommend and Advertise ↗Xiangyu Zhao, Xudong Zheng, Xiwang Yang et al.75 citations
  75. Residual Correlation in Graph Neural Network Regression ↗Junteng Jia, Austion R. Benson74 citations
  76. Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks ↗Xin Zhang, Xiujun Shu, Bingwen Zhang et al.73 citations
  77. DeepSinger: Singing Voice Synthesis with Data Mined From the Web ↗Yi Ren, Xu Tan, Tao Qin et al.73 citations
  78. Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks ↗Weilin Cong, Rana Forsati, Mahmut Kandemir et al.71 citations
  79. Interleaved Sequence RNNs for Fraud Detection ↗Bernardo Branco, Pedro Abreu, Ana Sofia Gomes et al.70 citations
  80. Neural Subgraph Isomorphism Counting ↗Xin Liu, Tianqing Fang, Mutian He et al.70 citations
  81. AutoKnow ↗Xin Luna Dong, Xiang He, Andrey Kan et al.69 citations
  82. Fairness in Machine Learning for Healthcare ↗Muhammad Aurangzeb Ahmad, Arpit Patel, Carly Eckert et al.69 citations
  83. Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams ↗Pengyang Wang, Kunpeng Liu, Lu Jiang et al.69 citations
  84. Temporal-Contextual Recommendation in Real-Time ↗Yifei Ma, Balakrishnan (Murali) Narayanaswamy, Haibin Lin et al.69 citations
  85. Fraud Transactions Detection via Behavior Tree with Local Intention Calibration ↗Can Liu, Qiwei Zhong, Xiang Ao et al.68 citations
  86. Neural Dynamics on Complex Networks ↗Chengxi Zang, Fei Wang68 citations
  87. Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks ↗Yingxue Zhang, Yanhua Li, Xun S. Zhou et al.67 citations
  88. Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction ↗Wenjuan Luo, Han Zhang, Xiaodi Yang et al.67 citations
  89. Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data ↗Bin Gu, Zhiyuan Dang, Xiang Li et al.67 citations
  90. LRSpeech ↗Jin Xu, Xu Tan, Yi Ren et al.65 citations
  91. Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery ↗Lin Zhu, Wei Yu, Kairong Zhou et al.65 citations
  92. Structural Patterns and Generative Models of Real-world Hypergraphs ↗Manh Tuan Do, Se-eun Yoon, Bryan Hooi et al.65 citations
  93. Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction ↗Qingquan Song, Dehua Cheng, Hanning Zhou et al.64 citations
  94. A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce ↗Xichuan Niu, Bofang Li, Chenliang Li et al.63 citations
  95. Attention based Multi-Modal New Product Sales Time-series Forecasting ↗Vijay Ekambaram, Kushagra Manglik, Sumanta Mukherjee et al.61 citations
  96. Privileged Features Distillation at Taobao Recommendations ↗Chen Xu, Quan Li, Junfeng Ge et al.61 citations
  97. TIMME ↗Zhiping Xiao, Weiping Song, Haoyan Xu et al.61 citations
  98. Correlation Networks for Extreme Multi-label Text Classification ↗Guangxu Xun, Kishlay Jha, Jianhui Sun et al.60 citations
  99. Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding ↗Yu Meng, Yunyi Zhang, Jiaxin Huang et al.60 citations
  100. Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction ↗Haoxing Lin, Rufan Bai, Weijia Jia et al.60 citations

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