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ACM International Conference on Knowledge Discovery and Data Mining

KDD

A*

CORE rank

CORE rank (raw)

A*

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 conferencesBest 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.

YearTitleAuthors
20254th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM).Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Hua Wei, Haifeng Chen
2025NoteLLM-2: Multimodal Large Representation Models for Recommendation.Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Xiangyu Zhao, Yan Gao, Yao Hu, Enhong Chen
2025Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems.Shuqiang Zhang, Yuchao Zhang, Jinkun Chen, Haochen Sui
2025Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning.Yifei Zhang, Hao Zhu, Menglin Yang, Jiahong Liu, Rex Ying, Irwin King, Piotr Koniusz
2025Semi-supervised Multi-view Clustering with Active Constraints.Chao Zhang, Deng Xu, Chunlin Chen, Huaxiong Li
2025HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark.Jianqing Zhang, Xinghao Wu, Yanbing Zhou, Xiaoting Sun, Qiqi Cai, Yang Liu, Yang Hua, Zhenzhe Zheng, Jian Cao, Qiang Yang
2025MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation.Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
2025MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance.Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou
2025TrustGLM: Evaluating the Robustness of GraphLLMs Against Prompt, Text, and Structure Attacks.Qihai Zhang, Xinyue Sheng, Yuanfu Sun, Qiaoyu Tan
2025LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs.Jiasheng Zhang, Ali Maatouk, Jialin Chen, Ngoc Bui, Qianqian Xie, Leandros Tassiulas, Hua Xu, Jie Shao, Rex Ying
2025CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs.Yiqing Zhang, Xiaozhong Liu, Fabricio Murai
2025Generalizing Personalized Federated Graph Augmentation via Min-max Adversarial Learning.Liang Zhang, Tao Long, Yang Liu, Lei Zhang, Laizhong Cui, Qingjiang Shi
2025Large-scale Human Mobility Data Regeneration for Open Urban Research.Ruixing Zhang, Yunqi Liu, Liangzhe Han, Leilei Sun, Chuanren Liu, Jibin Wang, Weifeng Lv
2025Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering.Zhongjin Zhang, Yu Liang, Cong Fu, Yuxuan Zhu, Kun Wang, Yabo Ni, Anxiang Zeng, Jiazhi Xia
2025Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation.Jiang Zhang, Sumit Kumar, Wei Chang, Yubo Wang, Feng Zhang, Weize Mao, Hanchao Yu, Aashu Singh, Min Li, Qifan Wang
2025LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025Multi-period Learning for Financial Time Series Forecasting.Xu Zhang, Zhengang Huang, Yunzhi Wu, Xun Lu, Erpeng Qi, Yunkai Chen, Zhongya Xue, Qitong Wang, Peng Wang, Wei Wang
2025FedMetro: Efficient Metro Passenger Flow Prediction via Federated Graph Learning.Tianlong Zhang, Xiaoxi He, Yuxiang Wang, Yi Xu, Rendi Wu, Zhifei Wang, Yongxin Tong
2025PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy.Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu
2025IDentity with Locality: An Ideal Hash for Gene Sequence Search.Tianyi Zhang, Gaurav Gupta, Aditya Desai, Anshumali Shrivastava
2025RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery.Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking.Qing Zhang, Alex Deng, Michelle Du, Huiji Gao, Liwei He, Sanjeev Katariya
2025Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph.Yutong Zhang, Lixing Chen, Shenghong Li, Nan Cao, Yang Shi, Jiaxin Ding, Zhe Qu, Pan Zhou, Yang Bai
2025LLM-Eraser: Optimizing Large Language Model Unlearning through Selective Pruning.Shengming Zhang, Le Zhang, Jingbo Zhou, Zhi Zheng, Hui Xiong
2025Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?Likun Zhang, Hao Wu, Lingcui Zhang, Fengyuan Xu, Jin Cao, Fenghua Li, Ben Niu
301–325 of 8,232← PreviousNext →

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