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	Cracking White-box DNN Watermarks via Invariant Neuron Transforms.	Xudong Pan, Mi Zhang, Yifan Yan, Yining Wang, Min Yang
2023	Deep Landscape Forecasting in Multi-Slot Real-Time Bidding.	Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu
2023	A Higher-Order Temporal H-Index for Evolving Networks.	Lutz Oettershagen, Nils M. Kriege, Petra Mutzel
2023	DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication.	Igor Nunes, Mike Heddes, Pere Vergs, Danny Abraham, Alexander V. Veidenbaum, Alex Nicolau, Tony Givargis
2023	Realistic but Non-Identifiable Synthetic User Data Generation.	Isaac Noble, Ivan Vendrov, Xin Xu, Deepak Ramachandran
2023	Causal Inference via Style Transfer for Out-of-distribution Generalisation.	Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
2023	The Missing Indicator Method: From Low to High Dimensions.	Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell
2023	Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications.	Mila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
2023	Training Large-scale Foundation Models on Emerging AI Chips.	Aashiq Muhamed, Christian Bock, Rahul Solanki, Youngsuk Park, Yida Wang, Jun Huan
2023	Socially Responsible Machine Learning: A Causal Perspective.	Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu
2023	Learning to Relate to Previous Turns in Conversational Search.	Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu
2023	Online Level-wise Hierarchical Clustering.	Nicholas Monath, Manzil Zaheer, Andrew McCallum
2023	Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction.	Erxue Min, Da Luo, Kangyi Lin, Chunzhen Huang, Yang Liu
2023	Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream.	Ruijie Miao, Yiyao Zhang, Guanyu Qu, Kaicheng Yang, Tong Yang, Bin Cui
2023	Hierarchical Projection Enhanced Multi-behavior Recommendation.	Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang
2023	The 12th International Workshop on Urban Computing.	Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
2023	Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective.	Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han
2023	Hands-on Tutorial: "Explanations in AI: Methods, Stakeholders and Pitfalls".	Mia C. Mayer, Muhammad Bilal Zafar, Luca Franceschi, Huzefa Rangwala
2023	HUGE: Huge Unsupervised Graph Embeddings with TPUs.	Brandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi
2023	Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping.	Xiaoxiao Ma, Jia Wu, Jian Yang, Quan Z. Sheng
2023	Augmenting Recurrent Graph Neural Networks with a Cache.	Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
2023	DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction.	Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin
2023	End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising.	Wuyang Mao, Chuanren Liu, Yundu Huang, Zhonglin Zu, M. Harshvardhan, Liang Wang, Bo Zheng
2023	Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network.	Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li
2023	Online Fairness Auditing through Iterative Refinement.	Pranav Maneriker, Codi Burley, Srinivasan Parthasarathy

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Comparable venues

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