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 | Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark. | Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu |
| 2025 | STARLINE: Contrastive Learning with Modality-Aware Graph Refinement for Effective Multimedia Recommendation. | Taeri Kim, Sohee Ban, Hyunjoon Kim, Sang-Wook Kim |
| 2025 | Bidirectional Diffusion Bridge Models. | Duc Kieu, Kien Do, Toan Nguyen, Dang Nguyen, Thin Nguyen |
| 2025 | Finding Repeated Structures in Time Series: Algorithms and Applications: A Unifying View of Time Series Motifs/Shapelets/Chains and Similar Primitives. | Eamonn J. Keogh |
| 2025 | Knowledge-Aligned Domain Shift Tuning for Efficient Adaptation in Large Language Models. | Noriaki Kawamae |
| 2025 | One-shot Multi-view Visual Conversational Recommendation. | Noriaki Kawamae |
| 2025 | YaART: Yet Another ART Rendering Technology. | Sergey Kastryulin, Artem Konev, Alexander Shishenya, Eugene Lyapustin, Artem Khurshudov, Alexander Tselousov, Nikita Vinokurov, Denis Kuznedelev, Alexander Markovich, Grigoriy Livshits, Alexey Kirillov, Anastasiia Tabisheva, Liubov Chubarova, Marina Kaminskaia, Alexander Ustyuzhanin, Artemii Shvetsov, Daniil Shlenskii, Valerii Startsev, Dmitrii Kornilov, Mikhail Romanov, Dmitry Baranchuk, Artem Babenko, Sergei Ovcharenko, Valentin Khrulkov |
| 2025 | CausalBench: Causal Learning Research Streamlined. | Ahmet Kapki, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul oban, Paras Sheth, Huan Liu, K. Seluk Candan |
| 2025 | HiDF: A Human-Indistinguishable Deepfake Dataset. | Chaewon Kang, Seoyoon Jeong, Jonghyun Lee, Daejin Choi, Simon S. Woo, Jinyoung Han |
| 2025 | Are Your Fairness Metrics Accurate? A Semi-Supervised Approach to Improving Fairness Estimates Under Sample Selection Bias. | M. Clara De Paolis Kaluza, Thulasi Tholeti, Yile Chen, Ricardo Baeza-Yates, Predrag Radivojac, Shantanu Jain |
| 2025 | Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem. | Oleg Kachan, Andrey V. Savchenko, Gleb Gusev |
| 2025 | Revisiting Self-attention for Cross-domain Sequential Recommendation. | Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah |
| 2025 | Harnessing Influence Function in Explaining Graph Neural Networks. | Heesoo Jung, Chanyong Kim, Geonhee Han, Hogun Park |
| 2025 | EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers. | Robert J. Joyce, Gideon Miller, Phil Roth, Richard Zak, Elliott Zaresky-Williams, Hyrum S. Anderson, Edward Raff, James Holt |
| 2025 | On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications. | Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin |
| 2025 | Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction. | Jiahao Ji, Wentao Zhang, Jingyuan Wang, Chao Huang |
| 2025 | Large Vison-Language Foundation Model in Baidu AIGC Image Advertising. | Zhipeng Jin, Wen Tao, Yafei Li, Yi Yang, Cong Han, Shuanglong Li, Lin Liu |
| 2025 | Why Not Together? A Multiple-Round Recommender System for Queries and Items. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Yong Yu, Jun Wang |
| 2025 | Experience Speaks Louder: Black-box Hard-label Adversarial Attack through Reinforcement Learning. | Yilun Jin, Kun Zhu, Feng Tang, Jiaxuan Shi, Yong Chen |
| 2025 | Urban Region Pre-training and Prompting: A Graph-based Approach. | Jiahui Jin, Yifan Song, Dong Kan, Haojia Zhu, Xiangguo Sun, Zhicheng Li, Xigang Sun, Jinghui Zhang |
| 2025 | Prompt as a Double-Edged Sword: A Dynamic Equilibrium Gradient-Assigned Attack against Graph Prompt Learning. | Ju Jia, Jingxuan Yu, Di Wu, Cong Wu, Hengjie Zhu, Lina Wang |
| 2025 | PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism. | Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska |
| 2025 | HiBench: Benchmarking LLMs Capability on Hierarchical Structure Reasoning. | Zhuohang Jiang, Pangjing Wu, Ziran Liang, Peter Q. Chen, Xu Yuan, Ye Jia, Jiancheng Tu, Chen Li, Peter H. F. Ng, Qing Li |
| 2025 | Retrieval And Structuring Augmented Generation with Large Language Models. | Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han |
| 2025 | Multi-modal Time Series Analysis: A Tutorial and Survey. | Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song |
726–750 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
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- 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