ACM International Conference on Knowledge Discovery and Data Mining

KDD

CORE rank

CORE rank (raw)

Acceptance rate

20.0% (2024 research track)

Fields of research

Data Management and Data Science · Machine Learning

Papers indexed

8,232

1994–2026

Best Machine Learning conferences Best Data Science and Information Retrieval conferences

Papers per year

1994844 peak2026

Most published authors

KDD papers

8,232 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2021	MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance.	Zhihan Fang, Guang Yang, Dian Zhang, Xiaoyang Xie, Guang Wang, Yu Yang, Fan Zhang, Desheng Zhang
2021	Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting.	Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie
2021	Gaussian Process with Graph Convolutional Kernel for Relational Learning.	Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang
2021	SSML: Self-Supervised Meta-Learner for En Route Travel Time Estimation at Baidu Maps.	Xiaomin Fang, Jizhou Huang, Fan Wang, Lihang Liu, Yibo Sun, Haifeng Wang
2021	Large-Scale Subspace Clustering via k-Factorization.	Jicong Fan
2021	Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies.	Lev Faivishevsky, Adi Szeskin, Ashwin K. Muppalla, Ravid Shwartz-Ziv, Itamar Ben-Ari, Ronen Laperdon, Benjamin Melloul, Tahi Hollander, Tom Hope, Amitai Armon
2021	When Comparing to Ground Truth is Wrong: On Evaluating GNN Explanation Methods.	Lukas Faber, Amin K. Moghaddam, Roger Wattenhofer
2021	Clustering for Private Interest-based Advertising.	Alessandro Epasto, Andrs Muoz Medina, Steven Avery, Yijian Bai, Rbert Busa-Fekete, CJ Carey, Ya Gao, David Guthrie, Subham Ghosh, James Ioannidis, Junyi Jiao, Jakub Lacki, Jason Lee, Arne Mauser, Brian Milch, Vahab S. Mirrokni, Deepak Ravichandran, Wei Shi, Max Spero, Yunting Sun, Umar Syed, Sergei Vassilvitskii, Shuo Wang
2021	New Frontiers of Multi-Network Mining: Recent Developments and Future Trend.	Boxin Du, Si Zhang, Yuchen Yan, Hanghang Tong
2021	Sylvester Tensor Equation for Multi-Way Association.	Boxin Du, Lihui Liu, Hanghang Tong
2021	Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning.	Chao Du, Zhifeng Gao, Shuo Yuan, Lining Gao, Ziyan Li, Yifan Zeng, Xiaoqiang Zhu, Jian Xu, Kun Gai, Kuang-Chih Lee
2021	TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data.	Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang
2021	Data Science with Human in the Loop.	Eduard C. Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic
2021	Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs.	Jialin Dong, Da Zheng, Lin F. Yang, George Karypis
2021	Individual Fairness for Graph Neural Networks: A Ranking based Approach.	Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li
2021	Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights.	David Dohan, Andreea Gane, Maxwell L. Bileschi, David Belanger, Lucy J. Colwell
2021	Deep Learning based Crop Row Detection with Online Domain Adaptation.	Rashed Doha, Mohammad Al Hasan, Sohel Anwar, Veera Rajendran
2021	DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks.	Yuhui Ding, Quanming Yao, Huan Zhao, Tong Zhang
2021	The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021).	Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang
2021	International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and Applications.	Ying Ding, Bogdan G. Arsintescu, Ching-Hua Chen, Haoyun Feng, Franois Scharffe, Oshani Seneviratne, Juan Sequeda
2021	Causal and Interpretable Rules for Time Series Analysis.	Amin Dhaou, Antoine Bertoncello, Sbastien Gourvnec, Josselin Garnier, Erwan Le Pennec
2021	Measures and Best Practices for Responsible AI.	Sunipa Dev, Mehrnoosh Sameki, Jwala Dhamala, Cho-Jui Hsieh
2021	Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution.	Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
2021	Globally Optimized Matchmaking in Online Games.	Qilin Deng, Hao Li, Kai Wang, Zhipeng Hu, Runze Wu, Linxia Gong, Jianrong Tao, Changjie Fan, Peng Cui
2021	On Post-selection Inference in A/B Testing.	Alex Deng, Yicheng Li, Jiannan Lu, Vivek Ramamurthy

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