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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
2024Face4Rag: Factual Consistency Evaluation for Retrieval Augmented Generation in Chinese.Yunqi Xu, Tianchi Cai, Jiyan Jiang, Xierui Song
2024PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection.Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
2024Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks.Feiyang Xu, Shunyu Liu, Yunpeng Qing, Yihe Zhou, Yuwen Wang, Mingli Song
2024XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques.Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan
2024Preventing Strategic Behaviors in Collaborative Inference for Vertical Federated Learning.Yidan Xing, Zhenzhe Zheng, Fan Wu
2024NL2Code-Reasoning and Planning with LLMs for Code Development.Ye Xing, Jun Huan, Wee Hyong Tok, Cong Shen, Johannes Gehrke, Katherine Lin, Arjun Guha, Omer Tripp, Murali Krishna Ramanathan
2024Understanding the Weakness of Large Language Model Agents within a Complex Android Environment.Mingzhe Xing, Rongkai Zhang, Hui Xue, Qi Chen, Fan Yang, Zhen Xiao
2024Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space.Zhe Xie, Shenglin Zhang, Yitong Geng, Yao Zhang, Minghua Ma, Xiaohui Nie, Zhenhe Yao, Longlong Xu, Yongqian Sun, Wentao Li, Dan Pei
2024Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification.Beini Xie, Heng Chang, Ziwei Zhang, Zeyang Zhang, Simin Wu, Xin Wang, Yuan Meng, Wenwu Zhu
2024DuMapNet: An End-to-End Vectorization System for City-Scale Lane-Level Map Generation.Deguo Xia, Weiming Zhang, Xiyan Liu, Wei Zhang, Chenting Gong, Jizhou Huang, Mengmeng Yang, Diange Yang
2024Fast Computation of Kemeny's Constant for Directed Graphs.Haisong Xia, Zhongzhi Zhang
2024ReFound: Crafting a Foundation Model for Urban Region Understanding upon Language and Visual Foundations.Congxi Xiao, Jingbo Zhou, Yixiong Xiao, Jizhou Huang, Hui Xiong
2024Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask.Jingyu Xiao, Zhiyao Xu, Qingsong Zou, Qing Li, Dan Zhao, Dong Fang, Ruoyu Li, Wenxin Tang, Kang Li, Xudong Zuo, Penghui Hu, Yong Jiang, Zixuan Weng, Michael R. Lyu
2024Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection.Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou
2024VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection.Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang
2024How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge Graphs.Hanhua Xiao, Yuchen Li, Yanhao Wang, Panagiotis Karras, Kyriakos Mouratidis, Natalia Rozalia Avlona
2024Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems.Zhichen Xiang, Hongke Zhao, Chuang Zhao, Ming He, Jianping Fan
2024Predicting Cascading Failures with a Hyperparametric Diffusion Model.Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan
2024FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation.Tong Xia, Abhirup Ghosh, Xinchi Qiu, Cecilia Mascolo
2024A Deep Prediction Framework for Multi-Source Information via Heterogeneous GNN.Zhen Wu, Jingya Zhou, Jinghui Zhang, Ling Liu, Chizhou Huang
2024Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering.Yihong Wu, Le Zhang, Fengran Mo, Tianyu Zhu, Weizhi Ma, Jian-Yun Nie
2024Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim.Yupeng Wu, Zhibo Zhu, Chaoyi Ma, Hong Qian, Xingyu Lu, Yangwenhui Zhang, Xiaobo Qin, Binjie Fei, Jun Zhou, Aimin Zhou
2024Counterfactual Generative Models for Time-Varying Treatments.Shenghao Wu, Wenbin Zhou, Minshuo Chen, Shixiang Zhu
2024DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback.Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
2024ProCom: A Few-shot Targeted Community Detection Algorithm.Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang
1,226–1,250 of 8,232← PreviousNext →

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