📰 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.

Most cited papers

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

1. Optuna ↗Takuya Akiba, Shotaro Sano, Toshihiko Yanase et al.8,406 citations
2. KGAT ↗Xiang Wang, Xiangnan He, Yixin Cao et al.2,147 citations
3. Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network ↗Ya Su, Youjian Zhao, Chenhao Niu et al.1,683 citations
4. Heterogeneous Graph Neural Network ↗Chuxu Zhang, Dongjin Song, Chao Huang et al.1,490 citations
5. Cluster-GCN ↗Wei-Lin Chiang, Xuanqing Liu, Si Si et al.1,247 citations
6. Auto-Keras: An Efficient Neural Architecture Search System ↗Haifeng Jin, Qingquan Song, Xia Hu891 citations
7. Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks ↗Srijan Kumar, Xikun Zhang, Jure Leskovec692 citations
8. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems ↗Hongwei Wang, Fuzheng Zhang, Mengdi Zhang et al.647 citations
9. dEFEND ↗Kai Shu, Limeng Cui, Suhang Wang et al.604 citations
10. Time-Series Anomaly Detection Service at Microsoft ↗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 ↗Takuya Akiba, Shotaro Sano, Toshihiko Yanase et al.8,406 citations
2. KGAT ↗Xiang Wang, Xiangnan He, Yixin Cao et al.2,147 citations
3. Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network ↗Ya Su, Youjian Zhao, Chenhao Niu et al.1,683 citations
4. Heterogeneous Graph Neural Network ↗Chuxu Zhang, Dongjin Song, Chao Huang et al.1,490 citations
5. Cluster-GCN ↗Wei-Lin Chiang, Xuanqing Liu, Si Si et al.1,247 citations
6. Auto-Keras: An Efficient Neural Architecture Search System ↗Haifeng Jin, Qingquan Song, Xia Hu891 citations
7. Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks ↗Srijan Kumar, Xikun Zhang, Jure Leskovec692 citations
8. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems ↗Hongwei Wang, Fuzheng Zhang, Mengdi Zhang et al.647 citations
9. dEFEND ↗Kai Shu, Limeng Cui, Suhang Wang et al.604 citations
10. Time-Series Anomaly Detection Service at Microsoft ↗Hansheng Ren, Bixiong Xu, Yujing Wang et al.588 citations
11. Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning ↗Zheyi Pan, Yuxuan Liang, Weifeng Wang et al.559 citations
12. Representation Learning for Attributed Multiplex Heterogeneous Network ↗Yukuo Cen, Xu Zou, Jianwei Zhang et al.465 citations
13. Deep Anomaly Detection with Deviation Networks ↗Guansong Pang, Chunhua Shen, Anton van den Hengel439 citations
14. Robust Graph Convolutional Networks Against Adversarial Attacks ↗Dingyuan Zhu, Ziwei Zhang, Peng Cui et al.430 citations
15. PressLight ↗Hua Wei, Chacha Chen, Guanjie Zheng et al.420 citations
16. MeLU ↗Hoyeop Lee, Jinbae Im, Seongwon Jang et al.363 citations
17. Fairness in Recommendation Ranking through Pairwise Comparisons ↗Alex Beutel, Jilin Chen, Tulsee S Doshi et al.362 citations
18. Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation ↗Shaohua Fan, Junxiong Zhu, Xiaotian Han et al.354 citations
19. Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search ↗Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi350 citations
20. NPA ↗Chuhan Wu, Fangzhao Wu, Mingxiao An et al.326 citations
21. Hierarchical Gating Networks for Sequential Recommendation ↗Chen Ma, Peng Kang, Xue Liu322 citations
22. Graph Convolutional Networks with EigenPooling ↗Yao Ma, Suhang Wang, Charų C. Aggarwal et al.320 citations
23. Origin-Destination Matrix Prediction via Graph Convolution ↗Yuandong Wang, Hongzhi Yin, Hongxu Chen et al.248 citations
24. Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems ↗Lixin Zou, Long Xia, Zhuoye Ding et al.247 citations
25. Actions Speak Louder than Goals ↗Tom Decroos, Lotte Bransen, Jan Van Haaren et al.240 citations

See all 374 papers in KDD 2019 — accepted 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 UnderstandingACM 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)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

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

🏛️ Top institutions

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

🎓Harbin Institute of TechnologyHarbin · China1 work here🏢Microsoft Research AsiaBeijing · China1 work here🎓Beihang UniversityBeijing · China1 work here

works and citations from OpenAlex and our library.

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