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	SAInf: Stay Area Inference of Vehicles using Surveillance Camera Records.	Zhipeng Ma, Chuishi Meng, Huimin Ren, Sijie Ruan, Jie Bao, Xiaoting Wang, Tianrui Li, Yu Zheng
2023	Fast Text Generation with Text-Editing Models.	Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Admek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn
2023	The 6th Workshop on e-eommerce and NLP (ECNLP 6).	Shervin Malmasi, Besnik Fetahu, Eugene Agichtein, Oleg Rokhlenko, Ido Guy, Nicola Ueffing, Surya Kallumadi
2023	Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems.	Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia
2023	Querywise Fair Learning to Rank through Multi-Objective Optimization.	Debabrata Mahapatra, Chaosheng Dong, Michinari Momma
2023	Multi-Label Learning to Rank through Multi-Objective Optimization.	Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Michinari Momma
2023	A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.	Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
2023	Context-aware Event Forecasting via Graph Disentanglement.	Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua
2023	Multi-Grained Multimodal Interaction Network for Entity Linking.	Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen
2023	Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations.	Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu
2023	Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs.	Yuankai Luo, Lei Shi, Mufan Xu, Yuwen Ji, Fengli Xiao, Chunming Hu, Zhiguang Shan
2023	Practical Synthetic Human Trajectories Generation Based on Variational Point Processes.	Qingyue Long, Huandong Wang, Tong Li, Lisi Huang, Kun Wang, Qiong Wu, Guangyu Li, Yanping Liang, Li Yu, Yong Li
2023	AdaTT: Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations.	Danwei Li, Zhengyu Zhang, Siyang Yuan, Mingze Gao, Weilin Zhang, Chaofei Yang, Xi Liu, Jiyan Yang
2023	Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference.	Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
2023	Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.	Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui
2023	Multi-Temporal Relationship Inference in Urban Areas.	Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong
2023	Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction.	Youru Li, Zhenfeng Zhu, Xiaobo Guo, Linxun Chen, Zhouyin Wang, Yinmeng Wang, Bing Han, Yao Zhao
2023	S	Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin
2023	HomoGCL: Rethinking Homophily in Graph Contrastive Learning.	Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
2023	GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification.	Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
2023	What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders.	Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
2023	Text Is All You Need: Learning Language Representations for Sequential Recommendation.	Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian J. McAuley
2023	Learning Slow and Fast System Dynamics via Automatic Separation of Time Scales.	Ruikun Li, Huandong Wang, Yong Li
2023	Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training.	Fan Liu, Weijia Zhang, Hao Liu
2023	Semi-Supervised Graph Imbalanced Regression.	Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang

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