---
title: "KDD 2019 — accepted papers — Elamur Research"
description: "KDD 2019 — 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/2019/"
---
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[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/) / 2019

# KDD 2019 — accepted papers

KDD 2019 is the 2019 edition of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD). OpenAlex lists 374 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.

[**374** 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/2019/#works) · [**896** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2019/#works)

## Most cited papers

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

1. **[Optuna ↗](https://doi.org/10.1145/3292500.3330701)**Takuya Akiba, Shotaro Sano, Toshihiko Yanase et al.*8,406 citations*
2. **[KGAT ↗](https://doi.org/10.1145/3292500.3330989)**Xiang Wang, Xiangnan He, Yixin Cao et al.*2,147 citations*
3. **[Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network ↗](https://doi.org/10.1145/3292500.3330672)**Ya Su, Youjian Zhao, Chenhao Niu et al.*1,683 citations*
4. **[Heterogeneous Graph Neural Network ↗](https://doi.org/10.1145/3292500.3330961)**Chuxu Zhang, Dongjin Song, Chao Huang et al.*1,490 citations*
5. **[Cluster-GCN ↗](https://doi.org/10.1145/3292500.3330925)**Wei-Lin Chiang, Xuanqing Liu, Si Si et al.*1,247 citations*
6. **[Auto-Keras: An Efficient Neural Architecture Search System ↗](https://doi.org/10.1145/3292500.3330648)**Haifeng Jin, Qingquan Song, Xia Hu*891 citations*
7. **[Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks ↗](https://doi.org/10.1145/3292500.3330895)**Srijan Kumar, Xikun Zhang, Jure Leskovec*692 citations*
8. **[Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems ↗](https://doi.org/10.1145/3292500.3330836)**Hongwei Wang, Fuzheng Zhang, Mengdi Zhang et al.*647 citations*
9. **[dEFEND ↗](https://doi.org/10.1145/3292500.3330935)**Kai Shu, Limeng Cui, Suhang Wang et al.*604 citations*
10. **[Time-Series Anomaly Detection Service at Microsoft ↗](https://doi.org/10.1145/3292500.3330680)**Hansheng Ren, Bixiong Xu, Yujing Wang et al.*588 citations*

## All accepted papers (374)

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

1. **[Optuna ↗](https://doi.org/10.1145/3292500.3330701)**Takuya Akiba, Shotaro Sano, Toshihiko Yanase et al.*8,406 citations*
2. **[KGAT ↗](https://doi.org/10.1145/3292500.3330989)**Xiang Wang, Xiangnan He, Yixin Cao et al.*2,147 citations*
3. **[Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network ↗](https://doi.org/10.1145/3292500.3330672)**Ya Su, Youjian Zhao, Chenhao Niu et al.*1,683 citations*
4. **[Heterogeneous Graph Neural Network ↗](https://doi.org/10.1145/3292500.3330961)**Chuxu Zhang, Dongjin Song, Chao Huang et al.*1,490 citations*
5. **[Cluster-GCN ↗](https://doi.org/10.1145/3292500.3330925)**Wei-Lin Chiang, Xuanqing Liu, Si Si et al.*1,247 citations*
6. **[Auto-Keras: An Efficient Neural Architecture Search System ↗](https://doi.org/10.1145/3292500.3330648)**Haifeng Jin, Qingquan Song, Xia Hu*891 citations*
7. **[Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks ↗](https://doi.org/10.1145/3292500.3330895)**Srijan Kumar, Xikun Zhang, Jure Leskovec*692 citations*
8. **[Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems ↗](https://doi.org/10.1145/3292500.3330836)**Hongwei Wang, Fuzheng Zhang, Mengdi Zhang et al.*647 citations*
9. **[dEFEND ↗](https://doi.org/10.1145/3292500.3330935)**Kai Shu, Limeng Cui, Suhang Wang et al.*604 citations*
10. **[Time-Series Anomaly Detection Service at Microsoft ↗](https://doi.org/10.1145/3292500.3330680)**Hansheng Ren, Bixiong Xu, Yujing Wang et al.*588 citations*
11. **[Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning ↗](https://doi.org/10.1145/3292500.3330884)**Zheyi Pan, Yuxuan Liang, Weifeng Wang et al.*559 citations*
12. **[Representation Learning for Attributed Multiplex Heterogeneous Network ↗](https://doi.org/10.1145/3292500.3330964)**Yukuo Cen, Xu Zou, Jianwei Zhang et al.*465 citations*
13. **[Deep Anomaly Detection with Deviation Networks ↗](https://doi.org/10.1145/3292500.3330871)**Guansong Pang, Chunhua Shen, Anton van den Hengel*439 citations*
14. **[Robust Graph Convolutional Networks Against Adversarial Attacks ↗](https://doi.org/10.1145/3292500.3330851)**Dingyuan Zhu, Ziwei Zhang, Peng Cui et al.*430 citations*
15. **[PressLight ↗](https://doi.org/10.1145/3292500.3330949)**Hua Wei, Chacha Chen, Guanjie Zheng et al.*420 citations*
16. **[MeLU ↗](https://doi.org/10.1145/3292500.3330859)**Hoyeop Lee, Jinbae Im, Seongwon Jang et al.*363 citations*
17. **[Fairness in Recommendation Ranking through Pairwise Comparisons ↗](https://doi.org/10.1145/3292500.3330745)**Alex Beutel, Jilin Chen, Tulsee S Doshi et al.*362 citations*
18. **[Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation ↗](https://doi.org/10.1145/3292500.3330673)**Shaohua Fan, Junxiong Zhu, Xiaotian Han et al.*354 citations*
19. **[Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search ↗](https://doi.org/10.1145/3292500.3330691)**Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi*350 citations*
20. **[NPA ↗](https://doi.org/10.1145/3292500.3330665)**Chuhan Wu, Fangzhao Wu, Mingxiao An et al.*326 citations*
21. **[Hierarchical Gating Networks for Sequential Recommendation ↗](https://doi.org/10.1145/3292500.3330984)**Chen Ma, Peng Kang, Xue Liu*322 citations*
22. **[Graph Convolutional Networks with EigenPooling ↗](https://doi.org/10.1145/3292500.3330982)**Yao Ma, Suhang Wang, Charų C. Aggarwal et al.*320 citations*
23. **[Origin-Destination Matrix Prediction via Graph Convolution ↗](https://doi.org/10.1145/3292500.3330877)**Yuandong Wang, Hongzhi Yin, Hongxu Chen et al.*248 citations*
24. **[Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems ↗](https://doi.org/10.1145/3292500.3330668)**Lixin Zou, Long Xia, Zhuoye Ding et al.*247 citations*
25. **[Actions Speak Louder than Goals ↗](https://doi.org/10.1145/3292500.3330758)**Tom Decroos, Lotte Bransen, Jan Van Haaren et al.*240 citations*

[See all 374 papers in KDD 2019 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-international-conference-on-knowledge-discovery-data-mining-kdd/2019/papers/)

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

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

1. **[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/) [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/)**Yiheng Xu, Minghao Li, Lei Cui, et al.*2019 · 896 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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.

[🧑‍🔬**Furu Wei**1 work here · 896 citations](https://md.research.elamur.ai/free/en/authors/furu-wei/) · [🧑‍🔬**Lei Cui**1 work here · 896 citations](https://md.research.elamur.ai/free/en/authors/lei-cui/) · [🧑‍🔬**Ming Zhou**1 work here · 896 citations](https://md.research.elamur.ai/free/en/authors/ming-zhou/) · [🧑‍🔬**Minghao Li**1 work here · 896 citations](https://md.research.elamur.ai/free/en/authors/minghao-li/) · [🧑‍🔬**Shaohan Huang**1 work here · 896 citations](https://md.research.elamur.ai/free/en/authors/shaohan-huang/) · [🧑‍🔬**Yiheng Xu**1 work here · 896 citations](https://md.research.elamur.ai/free/en/authors/yiheng-xu/)

## Top institutions

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

[🎓**Harbin Institute of Technology** Harbin · China 1 work here](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🏢**Microsoft Research Asia** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🎓**Beihang University** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/beihang-university/)

works and citations from OpenAlex and our library.

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