---
title: "KDD 2020 — all accepted papers with summaries and citations"
description: "All 420 papers of KDD 2020 · page 1 of 5, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/papers/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/papers/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [KDD](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/) / [2020](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/) / papers

# KDD 2020: all accepted papers

420 papers · page 1 of 5 · the most cited first · [← KDD 2020](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/)

**1** [2](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/papers/page/2/) … [5](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/papers/page/5/) [next →](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/papers/page/2/)

1. **[Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks ↗](https://doi.org/10.1145/3394486.3403118)**Zonghan Wu, Shirui Pan, Guodong Long et al.*2,001 citations*
2. **[USAD ↗](https://doi.org/10.1145/3394486.3403392)**Julien Audibert, Pietro Michiardi A, Frédéric Guyard et al.*1,065 citations*
3. **[DeepSpeed ↗](https://doi.org/10.1145/3394486.3406703)**Jeff Rasley, Samyam Rajbhandari, Olatunji Ruwase et al.*815 citations*
4. **[GCC ↗](https://doi.org/10.1145/3394486.3403168)**Jiezhong Qiu, Qibin Chen, Yuxiao Dong et al.*777 citations*
5. **[LayoutLM: Pre-training of Text and Layout for Document Image Understanding](https://md.research.elamur.ai/free/en/papers/xu-2019-layoutlm-pre-training-text-layout/)**Yiheng Xu, Minghao Li, Lei Cui et al.*709 citations · our summary*
6. **[Graph Structure Learning for Robust Graph Neural Networks ↗](https://doi.org/10.1145/3394486.3403049)**Wei Jin, Yao Ma, Xiaorui Liu et al.*644 citations*
7. **[Context-Aware Attentive Knowledge Tracing](https://md.research.elamur.ai/free/en/papers/ghosh-2020-context-aware-attentive-knowledge-tracing/)**Aritra Ghosh, Neil Thomas Heffernan, Andrew Lan*580 citations · our summary*
8. **[Towards Deeper Graph Neural Networks ↗](https://doi.org/10.1145/3394486.3403076)**Meng Liu, Hongyang Gao, Shuiwang Ji*507 citations*
9. **[Robust Deep Learning Methods for Anomaly Detection ↗](https://doi.org/10.1145/3394486.3406704)**Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla*502 citations*
10. **[AM-GCN: Adaptive Multi-channel Graph Convolutional Networks ↗](https://doi.org/10.1145/3394486.3403177)**Xiao Wang, Meiqi Zhu, Deyu Bo et al.*495 citations*
11. **[On Sampled Metrics for Item Recommendation ↗](https://doi.org/10.1145/3394486.3403226)**Walid Krichene, Steffen Rendle*495 citations*
12. **[GPT-GNN ↗](https://doi.org/10.1145/3394486.3403237)**Ziniu Hu, Yuxiao Dong, Kuansan Wang et al.*446 citations*
13. **[Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data ↗](https://doi.org/10.1145/3394486.3412865)**Chloë Brown, Jagmohan Chauhan, Andreas Grammenos et al.*440 citations*
14. **[Scaling Graph Neural Networks with Approximate PageRank ↗](https://doi.org/10.1145/3394486.3403296)**Aleksandar Bojchevski, Johannes Gasteiger, Bryan Perozzi et al.*371 citations*
15. **[Controllable Multi-Interest Framework for Recommendation ↗](https://doi.org/10.1145/3394486.3403344)**Yukuo Cen, Jianwei Zhang, Xu Zou et al.*338 citations*
16. **[Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion ↗](https://doi.org/10.1145/3394486.3403143)**Kun Zhou, Wayne Xin Zhao, Shuqing Bian et al.*321 citations*
17. **[Overview and Importance of Data Quality for Machine Learning Tasks ↗](https://doi.org/10.1145/3394486.3406477)**Abhinav Jain, Hima Patel, Lokesh Nagalapatti et al.*293 citations*
18. **[Handling Information Loss of Graph Neural Networks for Session-based Recommendation ↗](https://doi.org/10.1145/3394486.3403170)**Tianwen Chen, Raymond Chi-Wing Wong*287 citations*
19. **[Embedding-based Retrieval in Facebook Search ↗](https://doi.org/10.1145/3394486.3403305)**Jui-Ting Huang, Ashish Sharma, Shuying Sun et al.*276 citations*
20. **[Towards Physics-informed Deep Learning for Turbulent Flow Prediction ↗](https://doi.org/10.1145/3394486.3403198)**Rui Wang, Karthik Kashinath, Mustafa Mustafa et al.*273 citations*
21. **[XGNN: Towards Model-Level Explanations of Graph Neural Networks ↗](https://doi.org/10.1145/3394486.3403085)**Hao Yuan, Jiliang Tang, Xia Hu et al.*272 citations*
22. **[Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation ↗](https://doi.org/10.1145/3394486.3403207)**Yuanfu Lu, Yuan Fang, Chuan Shi*259 citations*
23. **[Geography-Aware Sequential Location Recommendation ↗](https://doi.org/10.1145/3394486.3403252)**Defu Lian, Yongji Wu, Yong Ge et al.*253 citations*
24. **[Adaptive Graph Encoder for Attributed Graph Embedding ↗](https://doi.org/10.1145/3394486.3403140)**Ganqu Cui, Jie Zhou, Cheng Yang et al.*235 citations*
25. **[MoFlow: An Invertible Flow Model for Generating Molecular Graphs ↗](https://doi.org/10.1145/3394486.3403104)**Chengxi Zang, Fei Wang*227 citations*
26. **[Disentangled Self-Supervision in Sequential Recommenders ↗](https://doi.org/10.1145/3394486.3403091)**Jianxin Ma, Chang Zhou, Hongxia Yang et al.*225 citations*
27. **[Dual Channel Hypergraph Collaborative Filtering ↗](https://doi.org/10.1145/3394486.3403253)**Shuyi Ji, Yifan Feng, Rongrong Ji et al.*224 citations*
28. **[FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems ↗](https://doi.org/10.1145/3394486.3403176)**Khalil Muhammad, Qinqin Wang, Diarmuid O’Reilly-Morgan et al.*217 citations*
29. **[Taming Pretrained Transformers for Extreme Multi-label Text Classification ↗](https://doi.org/10.1145/3394486.3403368)**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 ↗](https://doi.org/10.1145/3394486.3403107)**Junyu Luo, Muchao Ye, Cao Xiao et al.*196 citations*
31. **[Understanding Negative Sampling in Graph Representation Learning ↗](https://doi.org/10.1145/3394486.3403218)**Zhen Yang, Ming Ding, Chang Zhou et al.*190 citations*
32. **[AutoFIS ↗](https://doi.org/10.1145/3394486.3403314)**Bin Liu, Chenxu Zhu, Guilin Li et al.*171 citations*
33. **[MAMO ↗](https://doi.org/10.1145/3394486.3403113)**Manqing Dong, Yuan Feng, Lina Yao et al.*167 citations*
34. **[ConSTGAT ↗](https://doi.org/10.1145/3394486.3403320)**Xiaomin Fang, Jizhou Huang, Fan Wang et al.*166 citations*
35. **[An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks ↗](https://doi.org/10.1145/3394486.3403064)**Ruixiang Tang, Mengnan Du, Ninghao Liu et al.*165 citations*
36. **[DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation ↗](https://doi.org/10.1145/3394486.3403092)**Limeng Cui, Haeseung Seo, Maryam Tabar et al.*163 citations*
37. **[Interactive Path Reasoning on Graph for Conversational Recommendation ↗](https://doi.org/10.1145/3394486.3403258)**Wenqiang Lei, Gangyi Zhang, Xiangnan He et al.*162 citations*
38. **[Learning to Simulate Human Mobility ↗](https://doi.org/10.1145/3394486.3412862)**Jie Feng, Zeyu Yang, Fengli Xu et al.*150 citations*
39. **[Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data ↗](https://doi.org/10.1145/3394486.3403228)**Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook*141 citations*
40. **[Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction ↗](https://doi.org/10.1145/3394486.3403201)**Hongxu Chen, Hongzhi Yin, Xiangguo Sun et al.*138 citations*
41. **[PinnerSage ↗](https://doi.org/10.1145/3394486.3403280)**Aditya Pal, Chantat Eksombatchai, Yitong Zhou et al.*124 citations*
42. **[RayS: A Ray Searching Method for Hard-label Adversarial Attack ↗](https://doi.org/10.1145/3394486.3403225)**Jinghui Chen, Quanquan Gu*121 citations*
43. **[BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision ↗](https://doi.org/10.1145/3394486.3403149)**Chen Liang, Yue Yu, Haoming Jiang et al.*120 citations*
44. **[Hybrid Spatio-Temporal Graph Convolutional Network ↗](https://doi.org/10.1145/3394486.3403358)**Rui Dai, Shenkun Xu, Qian Gu et al.*120 citations*
45. **[NodeAug: Semi-Supervised Node Classification with Data Augmentation ↗](https://doi.org/10.1145/3394486.3403063)**Yiwei Wang, Wei Wang, Yuxuan Liang et al.*120 citations*
46. **[ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction ↗](https://doi.org/10.1145/3394486.3403117)**Zhongkai Hao, Chengqiang Lu, Zhenya Huang et al.*115 citations*
47. **[An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph ↗](https://doi.org/10.1145/3394486.3403050)**Jiarui Jin, Jiarui Qin, Yuchen Fang et al.*112 citations*
48. **[Learning Effective Road Network Representation with Hierarchical Graph Neural Networks ↗](https://doi.org/10.1145/3394486.3403043)**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 ↗](https://doi.org/10.1145/3394486.3412856)**Jizhou Huang, Haifeng Wang, Miao Fan et al.*109 citations*
50. **[HetETA ↗](https://doi.org/10.1145/3394486.3403294)**Huiting Hong, Yu‐Cheng Lin, Xiaoqing Yang et al.*108 citations*
51. **[Dynamic Knowledge Graph based Multi-Event Forecasting ↗](https://doi.org/10.1145/3394486.3403209)**Songgaojun Deng, Huzefa Rangwala, Yue Ning*107 citations*
52. **[WavingSketch: An Unbiased and Generic Sketch for Finding Top-k Items in Data Streams ↗](https://doi.org/10.1145/3394486.3403208)**Jizhou Li, Zikun Li, Yifei Xu et al.*105 citations*
53. **[InFoRM: Individual Fairness on Graph Mining ↗](https://doi.org/10.1145/3394486.3403080)**Jian Li Kang, Jingrui He, Ross Maciejewski et al.*103 citations*
54. **[A Data-Driven Graph Generative Model for Temporal Interaction Networks ↗](https://doi.org/10.1145/3394486.3403082)**Dawei Zhou, Lecheng Zheng, Jiawei Han et al.*99 citations*
55. **[Aligning Superhuman AI with Human Behavior ↗](https://doi.org/10.1145/3394486.3403219)**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 ↗](https://doi.org/10.1145/3394486.3403271)**Qingsong Wen, Zhe Zhang, Yan Li et al.*96 citations*
57. **[Multimodal Learning with Incomplete Modalities by Knowledge Distillation ↗](https://doi.org/10.1145/3394486.3403234)**Qi Wang, Liang Zhan, Paul M. Thompson et al.*96 citations*
58. **[Neural Input Search for Large Scale Recommendation Models ↗](https://doi.org/10.1145/3394486.3403288)**Manas Joglekar, Cong Li, Mei Chen et al.*96 citations*
59. **[HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness ↗](https://doi.org/10.1145/3394486.3403182)**Jiayi Chen, Aidong Zhang*94 citations*
60. **[Multitask Mixture of Sequential Experts for User Activity Streams ↗](https://doi.org/10.1145/3394486.3403359)**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 ↗](https://doi.org/10.1145/3394486.3403254)**Jianing Sun, Wei Guo, Dengcheng Zhang et al.*88 citations*
62. **[Policy-GNN: Aggregation Optimization for Graph Neural Networks ↗](https://doi.org/10.1145/3394486.3403088)**Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou et al.*88 citations*
63. **[Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems ↗](https://doi.org/10.1145/3394486.3403059)**Hao-Jun Michael Shi, Dheevatsa Mudigere, Maxim Naumov et al.*87 citations*
64. **[Hypergraph Convolutional Recurrent Neural Network ↗](https://doi.org/10.1145/3394486.3403389)**Jaehyuk Yi, Jinkyoo Park*86 citations*
65. **[AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction ↗](https://doi.org/10.1145/3394486.3403122)**Ting Li, Junbo Zhang, Kainan Bao et al.*84 citations*
66. **[Evaluating Conversational Recommender Systems via User Simulation ↗](https://doi.org/10.1145/3394486.3403202)**Shuo Zhang, Krisztian Balog*84 citations*
67. **[HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units ↗](https://doi.org/10.1145/3394486.3403212)**Shenda Hong, Yanbo Xu, Alind Khare et al.*84 citations*
68. **[Efficiently Solving the Practical Vehicle Routing Problem ↗](https://doi.org/10.1145/3394486.3403356)**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 ↗](https://doi.org/10.1145/3394486.3403284)**Menghan Wang, Yujie Lin, Guli Lin et al.*82 citations*
70. **[SEAL ↗](https://doi.org/10.1145/3394486.3403154)**Yao Zhang, Yun Xiong, Yun Ye et al.*81 citations*
71. **[TinyGNN: Learning Efficient Graph Neural Networks ↗](https://doi.org/10.1145/3394486.3403236)**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 ↗](https://doi.org/10.1145/3394486.3403047)**Qifan Wang, Yang Li, Bhargav Kanagal et al.*77 citations*
73. **[CompactETA ↗](https://doi.org/10.1145/3394486.3403386)**Kun Fu, Fanlin Meng, Jieping Ye et al.*76 citations*
74. **[Jointly Learning to Recommend and Advertise ↗](https://doi.org/10.1145/3394486.3403384)**Xiangyu Zhao, Xudong Zheng, Xiwang Yang et al.*75 citations*
75. **[Residual Correlation in Graph Neural Network Regression ↗](https://doi.org/10.1145/3394486.3403101)**Junteng Jia, Austion R. Benson*74 citations*
76. **[Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks ↗](https://doi.org/10.1145/3394486.3403287)**Xin Zhang, Xiujun Shu, Bingwen Zhang et al.*73 citations*
77. **[DeepSinger: Singing Voice Synthesis with Data Mined From the Web ↗](https://doi.org/10.1145/3394486.3403249)**Yi Ren, Xu Tan, Tao Qin et al.*73 citations*
78. **[Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks ↗](https://doi.org/10.1145/3394486.3403192)**Weilin Cong, Rana Forsati, Mahmut Kandemir et al.*71 citations*
79. **[Interleaved Sequence RNNs for Fraud Detection ↗](https://doi.org/10.1145/3394486.3403361)**Bernardo Branco, Pedro Abreu, Ana Sofia Gomes et al.*70 citations*
80. **[Neural Subgraph Isomorphism Counting ↗](https://doi.org/10.1145/3394486.3403247)**Xin Liu, Tianqing Fang, Mutian He et al.*70 citations*
81. **[AutoKnow ↗](https://doi.org/10.1145/3394486.3403323)**Xin Luna Dong, Xiang He, Andrey Kan et al.*69 citations*
82. **[Fairness in Machine Learning for Healthcare ↗](https://doi.org/10.1145/3394486.3406461)**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 ↗](https://doi.org/10.1145/3394486.3403128)**Pengyang Wang, Kunpeng Liu, Lu Jiang et al.*69 citations*
84. **[Temporal-Contextual Recommendation in Real-Time ↗](https://doi.org/10.1145/3394486.3403278)**Yifei Ma, Balakrishnan (Murali) Narayanaswamy, Haibin Lin et al.*69 citations*
85. **[Fraud Transactions Detection via Behavior Tree with Local Intention Calibration ↗](https://doi.org/10.1145/3394486.3403354)**Can Liu, Qiwei Zhong, Xiang Ao et al.*68 citations*
86. **[Neural Dynamics on Complex Networks ↗](https://doi.org/10.1145/3394486.3403132)**Chengxi Zang, Fei Wang*68 citations*
87. **[Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks ↗](https://doi.org/10.1145/3394486.3403127)**Yingxue Zhang, Yanhua Li, Xun S. Zhou et al.*67 citations*
88. **[Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction ↗](https://doi.org/10.1145/3394486.3403373)**Wenjuan Luo, Han Zhang, Xiaodi Yang et al.*67 citations*
89. **[Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data ↗](https://doi.org/10.1145/3394486.3403298)**Bin Gu, Zhiyuan Dang, Xiang Li et al.*67 citations*
90. **[LRSpeech ↗](https://doi.org/10.1145/3394486.3403331)**Jin Xu, Xu Tan, Yi Ren et al.*65 citations*
91. **[Order Fulfillment Cycle Time Estimation for On-Demand Food Delivery ↗](https://doi.org/10.1145/3394486.3403307)**Lin Zhu, Wei Yu, Kairong Zhou et al.*65 citations*
92. **[Structural Patterns and Generative Models of Real-world Hypergraphs ↗](https://doi.org/10.1145/3394486.3403060)**Manh Tuan Do, Se-eun Yoon, Bryan Hooi et al.*65 citations*
93. **[Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction ↗](https://doi.org/10.1145/3394486.3403137)**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 ↗](https://doi.org/10.1145/3394486.3403393)**Xichuan Niu, Bofang Li, Chenliang Li et al.*63 citations*
95. **[Attention based Multi-Modal New Product Sales Time-series Forecasting ↗](https://doi.org/10.1145/3394486.3403362)**Vijay Ekambaram, Kushagra Manglik, Sumanta Mukherjee et al.*61 citations*
96. **[Privileged Features Distillation at Taobao Recommendations ↗](https://doi.org/10.1145/3394486.3403309)**Chen Xu, Quan Li, Junfeng Ge et al.*61 citations*
97. **[TIMME ↗](https://doi.org/10.1145/3394486.3403275)**Zhiping Xiao, Weiping Song, Haoyan Xu et al.*61 citations*
98. **[Correlation Networks for Extreme Multi-label Text Classification ↗](https://doi.org/10.1145/3394486.3403151)**Guangxu Xun, Kishlay Jha, Jianhui Sun et al.*60 citations*
99. **[Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding ↗](https://doi.org/10.1145/3394486.3403242)**Yu Meng, Yunyi Zhang, Jiaxin Huang et al.*60 citations*
100. **[Preserving Dynamic Attention for Long-Term Spatial-Temporal Prediction ↗](https://doi.org/10.1145/3394486.3403046)**Haoxing Lin, Rufan Bai, Weijia Jia et al.*60 citations*

**1** [2](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/papers/page/2/) … [5](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/papers/page/5/) [next →](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/papers/page/2/)

- [← back to](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/) — KDD 2020
