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	TIES: Temporal Interaction Embeddings for Enhancing Social Media Integrity at Facebook.	Nima Noorshams, Saurabh Verma, Aude Hofleitner
2020	Edge-consensus Learning: Deep Learning on P2P Networks with Nonhomogeneous Data.	Kenta Niwa, Noboru Harada, Guoqiang Zhang, W. Bastiaan Kleijn
2020	A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce.	Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen
2020	CLARA: Confidence of Labels and Raters.	Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Udi Weinsberg, Henry C. Lin, Steve Metz, Neil Chandra, Jane Jing, Dimitris Kalimeris
2020	A Causal Look at Statistical Definitions of Discrimination.	Elias Chaibub Neto
2020	Vamsa: Automated Provenance Tracking in Data Science Scripts.	Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer
2020	Estimating Properties of Social Networks via Random Walk considering Private Nodes.	Kazuki Nakajima, Kazuyuki Shudo
2020	Easy Perturbation EEG Algorithm for Spectral Importance (easyPEASI): A Simple Method to Identify Important Spectral Features of EEG in Deep Learning Models.	David O. Nahmias, Kimberly L. Kontson
2020	FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems.	Khalil Muhammad, Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Neil Hurley, James Geraci, Aonghus Lawlor
2020	Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image Data.	Jonas Mueller, Xingjian Shi, Alexander J. Smola
2020	Building Recommender Systems with PyTorch.	Dheevatsa Mudigere, Maxim Naumov, Joe Spisak, Geeta Chauhan, Narine Kokhlikyan, Amanpreet Singh, Vedanuj Goswami
2020	ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization.	Gordon Euhyun Moon, J. Austin Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan
2020	Learning Opinion Dynamics From Social Traces.	Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi
2020	Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding.	Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
2020	Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis.	Yu Meng, Jiaxin Huang, Jiawei Han
2020	Representing Temporal Attributes for Schema Matching.	Yinan Mei, Shaoxu Song, Yunsu Lee, Jungho Park, Soo-Hyung Kim, Sungmin Yi
2020	Bandit based Optimization of Multiple Objectives on a Music Streaming Platform.	Rishabh Mehrotra, Niannan Xue, Mounia Lalmas
2020	Price Investment using Prescriptive Analytics and Optimization in Retail.	Prakhar Mehrotra, Linsey Pang, Karthick Gopalswamy, Avinash Thangali, Timothy Winters, Ketki Gupte, Dnyanesh Kulkarni, Sunil Potnuru, Supreeth Shastry, Harshada Vuyyuri
2020	Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization.	Rishabh Mehrotra, Ashish Gupta
2020	Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys.	Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon
2020	Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions.	James McInerney, Brian Brost, Praveen Chandar, Rishabh Mehrotra, Benjamin A. Carterette
2020	Aligning Superhuman AI with Human Behavior: Chess as a Model System.	Reid McIlroy-Young, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson
2020	Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs.	Clara H. McCreery, Namit Katariya, Anitha Kannan, Manish Chablani, Xavier Amatriain
2020	Disentangled Self-Supervision in Sequential Recommenders.	Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu
2020	Predictive and Causal Implications of using Shapley Value for Model Interpretation.	Sisi Ma, Roshan Tourani

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