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	Federated Adversarial Debiasing for Fair and Transferable Representations.	Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou
2021	Analysis of Faces in a Decade of US Cable TV News.	James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian
2021	Dynamic Language Models for Continuously Evolving Content.	Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web.	Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu
2021	Pruning-Aware Merging for Efficient Multitask Inference.	Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele
2021	Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors.	Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu
2021	A Unified Solution to Constrained Bidding in Online Display Advertising.	Yue He, Xiujun Chen, Di Wu, Junwei Pan, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu
2021	PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models.	Bing He, Mustaque Ahamad, Srijan Kumar
2021	DARING: Differentiable Causal Discovery with Residual Independence.	Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang
2021	Neural Instant Search for Music and Podcast.	Helia Hashemi, Aasish Pappu, Mi Tian, Praveen Chandar, Mounia Lalmas, Benjamin A. Carterette
2021	Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud.	Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi
2021	Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information.	Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li
2021	Adversarial Feature Translation for Multi-domain Recommendation.	Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin
2021	MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks.	Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma zcan, Yizhou Sun, Wei Wang
2021	A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks.	Peng Han, Jin Wang, Di Yao, Shuo Shang, Xiangliang Zhang
2021	Adaptive Transfer Learning on Graph Neural Networks.	Xueting Han, Zhenhuan Huang, Bang An, Jing Bai
2021	Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting.	Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong
2021	DI-2021: The Second Document Intelligence Workshop.	Benjamin Han, Douglas Burdick, Dave Lewis, Yijuan Lu, Hamid Motahari, Sandeep Tata
2021	Budget Allocation as a Multi-Agent System of Contextual & Continuous Bandits.	Benjamin Han, Carl Arndt
2021	Gramfinder: Human and Machine Reading of Grammatical Descriptions of the Languages of the World.	Harald Hammarstrm
2021	Graph Summarization with Controlled Utility Loss.	Mahdi Hajiabadi, Jasbir Singh, Venkatesh Srinivasan, Alex Thomo
2021	Towards Computing a Near-Maximum Weighted Independent Set on Massive Graphs.	Jiewei Gu, Weiguo Zheng, Yuzheng Cai, Peng Peng
2021	UCPhrase: Unsupervised Context-aware Quality Phrase Tagging.	Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang
2021	Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling.	Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu
2021	Data Quality for Machine Learning Tasks.	Nitin Gupta, Shashank Mujumdar, Hima Patel, Satoshi Masuda, Naveen Panwar, Sambaran Bandyopadhyay, Sameep Mehta, Shanmukha C. Guttula, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala

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