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
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 |
|---|---|---|
| 2025 | AliBoost: Ecological Boosting Framework in Alibaba Platform. | Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen |
| 2025 | CURE: A dataset for Clinical Understanding & Retrieval Evaluation. | Nadia Sheikh, Daniel Buades Marcos, Anne-Laure Jousse, Akintunde Oladipo, Olivier Rousseau, Jimmy Lin |
| 2025 | FLEXIS: FLEXible Frequent Subgraph Mining using Maximal Independent Sets. | Akshit Sharma, Sam Reinehr, Dinesh Mehta, Bo Wu |
| 2025 | Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. | Pengyang Shao, Yonghui Yang, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Yong Li, Meng Wang |
| 2025 | GREAT: Guiding Query Generation with a Trie for Recommending Related Search about Video at Kuaishou. | Ninglu Shao, Jinshan Wang, Chenxu Wang, Qingbiao Li, Xiaoxue Zang |
| 2025 | Abductive Learning for Neuro-Symbolic Grounded Imitation. | Jie-Jing Shao, Hao-Ran Hao, Xiao-Wen Yang, Yu-Feng Li |
| 2025 | Towards Trajectory Anomaly Detection: a Fine-Grained and Noise-Resilient Framework. | Wei Shao, Ziquan Fang, Lu Chen, Yunjun Gao |
| 2025 | BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. | Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng |
| 2025 | An Automatic Graph Construction Framework based on Large Language Models for Recommendation. | Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2025 | Towards Web-scale Recommendations with LLMs: From Quality-aware Ranking to Candidate Generation. | Jaidev Shah, Iman Barjasteh, Amey Barapatre, Rana Forsati, Gang Luo, Fan Wu, Yuan Fang, Xue Deng, Blake Shepard, Ronak Shah, Linjun Yang, Hongzhi Li |
| 2025 | ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting. | Hyunwoo Seo, Chiehyeon Lim |
| 2025 | Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data. | Timur Sattarov, Marco Schreyer, Damian Borth |
| 2025 | Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation. | Shailik Sarkar, Raquib Bin Yousuf, Linhan Wang, Brian Mayer, Thomas Mortier, Victor Deklerck, Jakub Truszkowski, John Simeone, Marigold Norman, Jade Saunders, Chang-Tien Lu, Naren Ramakrishnan |
| 2025 | Mind the Gap: Delayed Label Bias-Variance Tradeoffs in Predicting Likelihood of Nonpayment. | Tal Sarig, Ido Guy, Ami Tavory, Udi Weinsberg, Stratis Ioannidis |
| 2025 | GeoTS: A TSC Framework for Estimating Geological Formation to Model Carbon Storage Reservoirs. | Shwetha Salimath, Francesca Bugiotti, Sylvain Wlodarczyk |
| 2025 | CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation. | Rabeya Tus Sadia, Md. Atik Ahamed, Qiang Cheng |
| 2025 | Spatial Hierarchical Meta-Learning for Single-Point Map Matching. | Sijie Ruan, Yiqing Zou, Qianyu Yang, Haoyu Han, Yeting Zhang, Ziqiang Yuan, Hanning Yuan, Shuliang Wang |
| 2025 | Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities. | Jiancheng Ruan, Tingyang Chen, Renchi Yang, Xiangyu Ke, Yunjun Gao |
| 2025 | The Adaptive Use of Count-Min Sketch: What is Safe and What is Not? | Dragos-Florian Ristache, Krzysztof Onak |
| 2025 | Towards Understanding Link Predictor Generalizability Under Distribution Shifts. | Jay Revolinsky, Harry Shomer, Jiliang Tang |
| 2025 | Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity. | Yixin Ren, Haocheng Zhang, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou |
| 2025 | Score-based Generative Modeling for Conditional Independence Testing. | Yixin Ren, Chenghou Jin, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Hao Zhang, Jihong Guan, Shuigeng Zhou |
| 2025 | Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Molecular Graph Learning. | Jiahua Rao, Hanjing Lin, Jiancong Xie, Zhen Wang, Shuangjia Zheng, Yuedong Yang |
| 2025 | Anytime Algorithms for Approximate Functional Dependencies. | Sanjivni Rana, Junya Ogawa, Suraj Shetiya, Senjuti Basu Roy, Gautam Das |
| 2025 | Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence. | Zhan Qu, Shuzhou Yuan, Michael Frber, Marius Brennfleck, Niklas Wartha, Anton Stephan |
526–550 of 8,232← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- ACIKMACM International Conference on Information and Knowledge Management
- A*SIGIRACM International Conference on Research and Development in Information Retrieval
- A*ICDEInternational Conference on Data Engineering
- A*ICDMIEEE International Conference on Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering
- A*VLDBInternational Conference on Very Large Databases