Skip to content
cs-conference-ranking.org

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
2024Neural Manifold Operators for Learning the Evolution of Physical Dynamics.Hao Wu, Kangyu Weng, Shuyi Zhou, Xiaomeng Huang, Wei Xiong
2024LaDe: The First Comprehensive Last-mile Express Dataset from Industry.Lixia Wu, Haomin Wen, Haoyuan Hu, Xiaowei Mao, Yutong Xia, Ergang Shan, Jianbin Zheng, Junhong Lou, Yuxuan Liang, Liuqing Yang, Roger Zimmermann, Youfang Lin, Huaiyu Wan
2024Xinyu: An Efficient LLM-based System for Commentary Generation.Yiquan Wu, Bo Tang, Chenyang Xi, Yu Yu, Pengyu Wang, Yifei Liu, Kun Kuang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Jie Hu, Peng Cheng, Zhonghao Wang, Yi Wang, Yi Luo, Mingchuan Yang
2024FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model.Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
2024Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks.Jiaying Wu, Jiafeng Guo, Bryan Hooi
2024TrajRecovery: An Efficient Vehicle Trajectory Recovery Framework based on Urban-Scale Traffic Camera Records.Dongen Wu, Ziquan Fang, Qichen Sun, Lu Chen, Haiyang Hu, Fei Wang, Yunjun Gao
2024CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars.Austin P. Wright, Scott Davidoff, Duen Horng Chau
2024From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models.Xumeng Wen, Han Zhang, Shun Zheng, Wei Xu, Jiang Bian
2024On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications.Chengyao Wen, Yin Lou
2024AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning.Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang
2024Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems.Jianping Wei, Yujie Zhou, Zhengwei Wu, Ziqi Liu
2024Neural Optimization with Adaptive Heuristics for Intelligent Marketing System.Changshuai Wei, Benjamin Zelditch, Joyce Chen, Andre Assuncao Silva T. Ribeiro, Jingyi Kenneth Tay, Borja Ocejo Elizondo, Sathiya Keerthi Selvaraj, Aman Gupta, Licurgo Benemann De Almeida
2024TnT-LLM: Text Mining at Scale with Large Language Models.Mengting Wan, Tara Safavi, Sujay Kumar Jauhar, Yujin Kim, Scott Counts, Jennifer Neville, Siddharth Suri, Chirag Shah, Ryen W. White, Longqi Yang, Reid Andersen, Georg Buscher, Dhruv Joshi, Nagu Rangan
2024Online Drift Detection with Maximum Concept Discrepancy.Ke Wan, Yi Liang, Susik Yoon
2024Flexible Graph Neural Diffusion with Latent Class Representation Learning.Liangtian Wan, Huijin Han, Lu Sun, Zixun Zhang, Zhaolong Ning, Xiaoran Yan, Feng Xia
2024Provable Adaptivity of Adam under Non-uniform Smoothness.Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen
2024The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs.Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang
2024FedNLR: Federated Learning with Neuron-wise Learning Rates.Haozhao Wang, Peirong Zheng, Xingshuo Han, Wenchao Xu, Ruixuan Li, Tianwei Zhang
2024Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs.Hewen Wang, Renchi Yang, Xiaokui Xiao
2024Self-Supervised Learning for Graph Dataset Condensation.Yuxiang Wang, Xiao Yan, Shiyu Jin, Hao Huang, Quanqing Xu, Qingchen Zhang, Bo Du, Jiawei Jiang
2024Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs.Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Wen Zhang, Jinjie Gu
2024Mitigating Pooling Bias in E-commerce Search via False Negative Estimation.Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma
2024Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering.Haosen Wang, Can Xu, Chenglong Shi, Pengfei Zheng, Shiming Zhang, Minhao Cheng, Hongyang Chen
2024EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration.Ye Wang, Jiahao Xun, Minjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong
1,251–1,275 of 8,232← PreviousNext →

Comparable venues

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