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	PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text.	Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma
2023	Web-based Long-term Spine Treatment Outcome Forecasting.	Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu
2023	Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information.	Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
2023	From Labels to Decisions: A Mapping-Aware Annotator Model.	Evan Yao, Jagdish Ramakrishnan, Xu Chen, Viet-An Nguyen, Udi Weinsberg
2023	CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning.	Gang Yan, Hao Wang, Xu Yuan, Jian Li
2023	DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection.	Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
2023	Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets.	Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin, Dongmei Zhang
2023	EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation.	Kuo Yang, Zhengyang Zhou, Wei Sun, Pengkun Wang, Xu Wang, Yang Wang
2023	MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer.	Yazheng Yang, Zhou Zhao, Qi Liu
2023	Fragility Index: A New Approach for Binary Classification.	Chen Yang, Ziqiang Zhang, Bo Cao, Zheng Cui, Bin Hu, Tong Li, Daniel Zhuoyu Long, Jin Qi, Feng Wang, Ruohan Zhan
2023	PyHealth: A Deep Learning Toolkit for Healthcare Applications.	Chaoqi Yang, Zhenbang Wu, Patrick Jiang, Zhen Lin, Junyi Gao, Benjamin P. Danek, Jimeng Sun
2023	Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data.	Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney
2023	Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting.	Linxiao Yang, Rui Ren, Xinyue Gu, Liang Sun
2023	MAPLE: Semi-Supervised Learning with Multi-Alignment and Pseudo-Learning.	Juncheng Yang, Chao Li, Zuchao Li, Wei Yu, Bo Du, Shijun Li
2023	M3PT: A Multi-Modal Model for POI Tagging.	Jingsong Yang, Guanzhou Han, Deqing Yang, Jingping Liu, Yanghua Xiao, Xiang Xu, Baohua Wu, Shenghua Ni
2023	Knowledge Graph Self-Supervised Rationalization for Recommendation.	Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang
2023	LightPath: Lightweight and Scalable Path Representation Learning.	Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2023	BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs.	Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
2023	Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling.	Bei Yang, Jie Gu, Ke Liu, Xiaoxiao Xu, Renjun Xu, Qinghui Sun, Hong Liu
2023	Specify Robust Causal Representation from Mixed Observations.	Mengyue Yang, Xinyu Cai, Furui Liu, Weinan Zhang, Jun Wang
2023	KDD 2023 International Workshop on Data Science for Social Good (DSSG-23).	Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang
2023	E-commerce Search via Content Collaborative Graph Neural Network.	Guipeng Xv, Chen Lin, Wanxian Guan, Jinping Gou, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng
2023	MimoSketch: A Framework to Mine Item Frequency on Multiple Nodes with Sketches.	Yuchen Xu, Wenfei Wu, Bohan Zhao, Tong Yang, Yikai Zhao
2023	Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for Healthcare.	Tao Xu, Fei Wang, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian, Lixia Yao, Alexej Gossmann, Florian Buettner
2023	AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn.	Zhentao Xu, Ruoying Wang, Girish Balaji, Manas Bundele, Xiao-Fei Liu, Leo Liu, Tie Wang

1,826–1,850 of 8,232← Previous Next →

Comparable venues

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