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
2023	Graph Neural Processes for Spatio-Temporal Extrapolation.	Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Hongyang Chen, Yu Zheng, Roger Zimmermann
2023	OPORP: One Permutation + One Random Projection.	Ping Li, Xiaoyun Li
2023	Treatment Effect Estimation with Adjustment Feature Selection.	Haotian Wang, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang
2023	Locality Sensitive Hashing for Optimizing Subgraph Query Processing in Parallel Computing Systems.	Peng Peng, Shengyi Ji, Zhen Tian, Hongbo Jiang, Weiguo Zheng, Xuecang Zhang
2023	MicroscopeSketch: Accurate Sliding Estimation Using Adaptive Zooming.	Yuhan Wu, Shiqi Jiang, Siyuan Dong, Zheng Zhong, Jiale Chen, Yutong Hu, Tong Yang, Steve Uhlig, Bin Cui
2023	UnifieR: A Unified Retriever for Large-Scale Retrieval.	Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang
2023	Connecting the Dots - Density-Connectivity Distance unifies DBSCAN, k-Center and Spectral Clustering.	Anna Beer, Andrew Draganov, Ellen Hohma, Philipp Jahn, Christian M. M. Frey, Ira Assent
2023	EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments.	Federico Bianchi, Patrick John Chia, Jacopo Tagliabue, Ciro Greco, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Claudio Pomo
2023	Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity.	Atsushi Miyauchi, Tianyi Chen, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis
2023	22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023).	Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki
2023	FedDefender: Client-Side Attack-Tolerant Federated Learning.	Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023	κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning.	Menglin Yang, Min Zhou, Lujia Pan, Irwin King
2022	RBG: Hierarchically Solving Large-Scale Routing Problems in Logistic Systems via Reinforcement Learning.	Zefang Zong, Hansen Wang, Jingwei Wang, Meng Zheng, Yong Li
2022	A Nearly-Linear Time Algorithm for Minimizing Risk of Conflict in Social Networks.	Liwang Zhu, Zhongzhi Zhang
2022	Unified 2D and 3D Pre-Training of Molecular Representations.	Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
2022	How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications.	Jiong Zhu, Junchen Jin, Donald Loveland, Michael T. Schaub, Danai Koutra
2022	User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking.	Chenxu Zhu, Peng Du, Xianghui Zhu, Weinan Zhang, Yong Yu, Yang Cao
2022	Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History.	Chenxu Zhu, Peng Du, Weinan Zhang, Yong Yu, Yang Cao
2022	Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks.	Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao
2022	DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation.	Kailiang Zhong, Fengtong Xiao, Yan Ren, Yaorong Liang, Wenqing Yao, Xiaofeng Yang, Ling Cen
2022	Contrastive Learning with Complex Heterogeneity.	Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He
2022	Instant Graph Neural Networks for Dynamic Graphs.	Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang
2022	Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs.	Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, George Karypis
2022	DDR: Dialogue Based Doctor Recommendation for Online Medical Service.	Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao
2022	JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding.	Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen

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Comparable venues

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