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
2020	Improving Recommendation Quality in Google Drive.	Suming J. Chen, Zhen Qin, Zac Wilson, Brian Calaci, Michael Rose, Ryan Evans, Sean Abraham, Donald Metzler, Sandeep Tata, Mike Colagrosso
2020	Finding Effective Geo-social Group for Impromptu Activities with Diverse Demands.	Lu Chen, Chengfei Liu, Rui Zhou, Jiajie Xu, Jeffrey Xu Yu, Jianxin Li
2020	Contagious Chain Risk Rating for Networked-guarantee Loans.	Dawei Cheng, Zhibin Niu, Yiyi Zhang
2020	RayS: A Ray Searching Method for Hard-label Adversarial Attack.	Jinghui Chen, Quanquan Gu
2020	InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity.	Sudhanshu Chanpuriya, Cameron Musco
2020	Taming Pretrained Transformers for Extreme Multi-label Text Classification.	Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
2020	Robust Deep Learning Methods for Anomaly Detection.	Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla
2020	Tutorial on Human-Centered Explainability for Healthcare.	Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel M. Gruen, Kenney Ng, Daby Sow, Kush R. Varshney
2020	Controllable Multi-Interest Framework for Recommendation.	Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang
2020	Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges.	Rich Caruana, Scott M. Lundberg, Marco Tlio Ribeiro, Harsha Nori, Samuel Jenkins
2020	Higher-order Clustering in Complex Heterogeneous Networks.	Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh
2020	Data Scientists and Designers Can Create The Jobs of The Future.	Diarmuid Cahalane, Patrick Connolly, Andrew Dalton, Bogdan Saceleanu, Medb Corcoran
2020	Algorithmic Aspects of Temporal Betweenness.	Sebastian Bu, Hendrik Molter, Rolf Niedermeier, Maciej Rymar
2020	Human-In-The-Loop Topic Discovery with Embedded Text Representations.	Eric Bunch, Qian You, Glenn Fung
2020	BART for Knowledge Grounded Conversations.	Maxime De Bruyn, Ehsan Lotfi, Jeska Buhmann, Walter Daelemans
2020	Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data.	Chlo Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Cecilia Mascolo
2020	Keynote Speaker: Emery N. Brown.	Emery N. Brown
2020	Interleaved Sequence RNNs for Fraud Detection.	Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, Joo Tiago Ascenso, Pedro Bizarro
2020	Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes.	Soorajnath Boominathan, Michael Oberst, Helen Zhou, Sanjat Kanjilal, David A. Sontag
2020	Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France.	Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis
2020	Scaling Graph Neural Networks with Approximate PageRank.	Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rzemberczki, Michal Lukasik, Stephan Gnnemann
2020	Accessible Online Meetings and Presentations.	Brianna Blaser
2020	How to Count Triangles, without Seeing the Whole Graph.	Suman K. Bera, C. Seshadhri
2020	Mining Persistent Activity in Continually Evolving Networks.	Caleb Belth, Xinyi Zheng, Danai Koutra
2020	GrokNet: Unified Computer Vision Model Trunk and Embeddings For Commerce.	Sean Bell, Yiqun Liu, Sami Alsheikh, Yina Tang, Edward Pizzi, M. Henning, Karun Singh, Omkar Parkhi, Fedor Borisyuk

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