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	Multi-channel Integrated Recommendation with Exposure Constraints.	Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge
2023	Graph and Geometry Generative Modeling for Drug Discovery.	Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon
2023	Learning Behavior-oriented Knowledge Tracing.	Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang
2023	Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation.	Bing Xue, Ahmed Sameh Said, Ziqi Xu, Hanyang Liu, Neel Shah, Hanqing Yang, Philip R. O. Payne, Chenyang Lu
2023	Large-Scale Graph Neural Networks: The Past and New Frontiers.	Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
2023	PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement.	Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Kun Gai, Bo An
2023	Node Classification Beyond Homophily: Towards a General Solution.	Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong
2023	Multi-factor Sequential Re-ranking with Perception-Aware Diversification.	Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu
2023	Kernel Ridge Regression-Based Graph Dataset Distillation.	Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong
2023	A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games.	Yu Xiong, Runze Wu, Shiwei Zhao, Jianrong Tao, Xudong Shen, Tangjie Lyu, Changjie Fan, Peng Cui
2023	A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning.	Mingzhe Xing, Hangyu Mao, Shenglin Yin, Lichen Pan, Zhengchao Zhang, Zhen Xiao, Jieyi Long
2023	On-device Integrated Re-ranking with Heterogeneous Behavior Modeling.	Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu
2023	Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.	Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023	QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search.	Jian Xie, Yidan Liang, Jingping Liu, Yanghua Xiao, Baohua Wu, Shenghua Ni
2023	A Sequence-to-Sequence Approach with Mixed Pointers to Topic Segmentation and Segment Labeling.	Jinxiong Xia, Houfeng Wang
2023	User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback.	Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li
2023	Spatial Heterophily Aware Graph Neural Networks.	Congxi Xiao, Jingbo Zhou, Jizhou Huang, Tong Xu, Hui Xiong
2023	Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models.	Chunjing Xiao, Zehua Gou, Wenxin Tai, Kunpeng Zhang, Fan Zhou
2023	Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective.	Teng Xiao, Zhengyu Chen, Suhang Wang
2023	Knowledge Based Prohibited Item Detection on Heterogeneous Risk Graphs.	Tingyan Xiang, Ao Li, Yugang Ji, Dong Li
2023	A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile Logistics.	Kaiwen Xia, Li Lin, Shuai Wang, Haotian Wang, Desheng Zhang, Tian He
2023	TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest.	Xue Xia, Pong Eksombatchai, Nikil Pancha, Dhruvil Deven Badani, Po-Wei Wang, Neng Gu, Saurabh Vishwas Joshi, Nazanin Farahpour, Zhiyuan Zhang, Andrew Zhai
2023	Preface.
2023	MedLink: De-Identified Patient Health Record Linkage.	Zhenbang Wu, Cao Xiao, Jimeng Sun
2023	Graph Contrastive Learning with Generative Adversarial Network.	Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai

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