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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
2024Inductive Modeling for Realtime Cold Start Recommendations.Chandler Zuo, Jonathan Castaldo, Hanqing Zhu, Haoyu Zhang, Ji Liu, Yangpeng Ou, Xiao Kong
2024MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading.Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An
2024ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
2024Dynamic Hotel Pricing at Online Travel Platforms: A Popularity and Competitiveness Aware Demand Learning Approach.Fanwei Zhu, Wendong Xiao, Yao Yu, Zemin Liu, Zulong Chen, Weibin Cai
2024Topology-monitorable Contrastive Learning on Dynamic Graphs.Zulun Zhu, Kai Wang, Haoyu Liu, Jintang Li, Siqiang Luo
2024Distributed Thresholded Counting with Limited Interaction.Xiaoyi Zhu, Yuxiang Tian, Zengfeng Huang
2024One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes.Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen
2024Bringing Multimodality to Amazon Visual Search System.Xinliang Zhu, Sheng-Wei Huang, Han Ding, Jinyu Yang, Kelvin Chen, Tao Zhou, Tal Neiman, Ouye Xie, Son Tran, Benjamin Z. Yao, Douglas Gray, Anuj Bindal, Arnab Dhua
2024Causal Inference with Latent Variables: Recent Advances and Future Prospectives.Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection.Junyou Zhu, Chao Gao, Ze Yin, Xianghua Li, Jrgen Kurths
2024The 5th International Workshop on Talent and Management Computing (TMC'2024).Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim
2024Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models.Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
2024CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect.Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen
2024STATE: A Robust ATE Estimator of Heavy-Tailed Metrics for Variance Reduction in Online Controlled Experiments.Hao Zhou, Kun Sun, Shaoming Li, Yangfeng Fan, Guibin Jiang, Jiaqi Zheng, Tao Li
2024Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization.Hao Zhou, Rongxiao Huang, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Bing Cheng, Wei Lin
2024Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
2024Efficient and Effective Implicit Dynamic Graph Neural Network.Yongjian Zhong, Hieu Vu, Tianbao Yang, Bijaya Adhikari
2024LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models.Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen
2024BitLINK: Temporal Linkage of Address Clusters in Bitcoin Blockchain.Sheng Zhong, Abdullah Mueen
2024Bridging and Compressing Feature and Semantic Spaces for Robust Graph Neural Networks: An Information Theory Perspective.Luying Zhong, Renjie Lin, Jiayin Li, Shiping Wang, Zheyi Chen
2024Spuriousness-Aware Meta-Learning for Learning Robust Classifiers.Guangtao Zheng, Wenqian Ye, Aidong Zhang
2024Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning.Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong
2024SiGeo: Sub-One-Shot NAS via Geometry of Loss Landscape.Hua Zheng, Kuang-Hung Liu, Igor Fedorov, Xin Zhang, Wen-Yen Chen, Wei Wen
2024Heterogeneous Contrastive Learning for Foundation Models and Beyond.Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
2024GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications.Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
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