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	Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns.	Susheel Suresh, Vinith Budde, Jennifer Neville, Pan Li, Jianzhu Ma
2021	A Stagewise Hyperparameter Scheduler to Improve Generalization.	Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang
2021	MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph.	Mengying Sun, Jing Xing, Huijun Wang, Bin Chen, Jiayu Zhou
2021	Dirac Delta Regression: Conditional Density Estimation with Clinical Trials.	Eric V. Strobl, Shyam Visweswaran
2021	Redescription Model Mining.	Felix I. Stamm, Martin Becker, Markus Strohmaier, Florian Lemmerich
2021	Dynamic Social Media Monitoring for Fast-Evolving Online Discussions.	Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar
2021	Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression.	Olivier Sprangers, Sebastian Schelter, Maarten de Rijke
2021	Triangle-aware Spectral Sparsifiers and Community Detection.	Konstantinos Sotiropoulos, Charalampos E. Tsourakakis
2021	Deep Clustering based Fair Outlier Detection.	Hanyu Song, Peizhao Li, Hongfu Liu
2021	Robust Learning by Self-Transition for Handling Noisy Labels.	Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee
2021	Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries.	Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontan, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra
2021	Interpretable Drug Response Prediction using a Knowledge-based Neural Network.	Oliver Snow, Hossein Sharifi-Noghabi, Jialin Lu, Olga I. Zolotareva, Mark Lee, Martin Ester
2021	Fruit-fly Inspired Neighborhood Encoding for Classification.	Kaushik Sinha, Parikshit Ram
2021	Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes.	Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter
2021	Language Scaling: Applications, Challenges and Approaches.	Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang
2021	Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing.	Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang
2021	The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021).	Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang
2021	Learning Process-consistent Knowledge Tracing.	Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang
2021	Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours.	Karishma Sharma, Yizhou Zhang, Emilio Ferrara, Yan Liu
2021	KDD 2021 Tutorial on Systemic Challenges and Solutions on Bias and Unfairness in Peer Review.	Nihar B. Shah
2021	Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning.	Ignacio Segovia-Dominguez, Huikyo Lee, Yuzhou Chen, Michael J. Garay, Krzysztof M. Gorski, Yulia R. Gel
2021	Predicting COVID-19 Spread from Large-Scale Mobility Data.	Amray Schwabe, Joel Persson, Stefan Feuerriegel
2021	Risk Identification & Quantification in Complex Human-Natural Systems via Convergent Data Intensive Research.	Toryn L. J. Schafer, Ryan M. McGranaghan, Mila Getmansky Sherman, Mei-Ling E. Feng, Olukunle O. Owolabi, Sean E. Ryan, Marie-Christine Dker, Michael Jauch, David S. Matteson
2021	ACM KDD AI4Cyber: The 1st Workshop on Artificial Intelligence-enabled Cybersecurity Analytics.	Sagar Samtani, Shanchieh Yang, Hsinchun Chen
2021	Contextual Bandit Applications in a Customer Support Bot.	Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen

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Comparable venues

Other A*/A conferences filed under the same field of research.