---
title: "KDD 2020 — accepted papers — Elamur Research"
description: "KDD 2020 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/"
---
[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/)

[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

# KDD 2020 — accepted papers

KDD 2020 is the 2020 edition of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD). OpenAlex lists 420 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**420** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/#works) · [**601** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

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*

## All accepted papers (420)

The most cited first; 1 with our summary link to their page here, the others to the original.

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*

[See all 420 papers in KDD 2020 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2020/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Context-Aware Attentive Knowledge Tracing](https://md.research.elamur.ai/free/en/papers/ghosh-2020-context-aware-attentive-knowledge-tracing/) [ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/)**Aritra Ghosh, Neil Heffernan, Andrew S. Lan*2020 · 601 citations*

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Andrew Lan**1 work here · 601 citations](https://md.research.elamur.ai/free/en/authors/andrew-lan/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Worcester Polytechnic Institute** Worcester · United States 1 work here](https://md.research.elamur.ai/free/en/universities/worcester-polytechnic-institute/) · [🎓**University of Massachusetts Amherst** Amherst Center · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/)

works and citations from OpenAlex and our library.

- [← previous KDD 2019](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2019/)
- [↑ back to KDD](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/)