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 | GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations. | Junze Chen, Cheng Yang, Shujie Li, Zhiqiang Zhang, Yawen Li, Junping Du, Chuan Shi |
| 2025 | UoMo: A Universal Model of Mobile Traffic Forecasting for Wireless Network Optimization. | Haoye Chai, Shiyuan Zhang, Xiaoqian Qi, Baohua Qiu, Yong Li |
| 2025 | Evaluating and Generating Query Workloads for High Dimensional Vector Similarity Search. | Matteo Ceccarello, Alexandra Levchenko, Ioana Ileana, Themis Palpanas |
| 2025 | Safe Online Bid Optimization with Return on Investment and Budget Constraints. | Matteo Castiglioni, Alessandro Nuara, Giulia Romano, Giorgio Spadaro, Francesco Trov, Nicola Gatti |
| 2025 | Maturity Framework for Enhancing Machine Learning Quality. | Angelantonio Castelli, Georgios Christos Chouliaras, Dmitri Goldenberg |
| 2025 | How to use Graph Data in the Wild to Help Graph Anomaly Detection? | Yuxuan Cao, Jiarong Xu, Chen Zhao, Jiaan Wang, Carl Ji Yang, Chunping Wang, Yang Yang |
| 2025 | HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback. | Xufeng Cai, Ziwei Guan, Lei Yuan, Ali Selman Aydin, Tengyu Xu, Boying Liu, Wenbo Ren, Renkai Xiang, Songyi He, Haichuan Yang, Serena Li, Mingze Gao, Yue Weng, Ji Liu |
| 2025 | Exploring the Potential of Foundation Models as Reliable AI Contact Centers. | Hoyoon Byun, Minhoi Park, Seolah Kim, EunBi Kim, Kyungwoo Song |
| 2025 | Fast and Effective GNN Training through Sequences of Random Path Graphs. | Francesco Bonchi, Claudio Gentile, Francesco Paolo Nerini, Andr Panisson, Fabio Vitale |
| 2025 | Quantizing Text-attributed Graphs for Semantic-Structural Integration. | Jianyuan Bo, Hao Wu, Yuan Fang |
| 2025 | Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever. | Xingyan Bin, Jianfei Cui, Wujie Yan, Zhichen Zhao, Xintian Han, Chongyang Yan, Feng Zhang, Xun Zhou, Xiao Yang, Zuotao Liu |
| 2025 | Characterizing the Risk of Atrial Fibrillation in Cardiac Patients with Exceptional Electrocardiogram Phenotypes. | Lieke van den Biggelaar, Rianne Margaretha Schouten, Ashley De Bie, R. Arthur Bouwman, Wouter Duivesteijn |
| 2025 | RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. | Federico Berto, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, Andr Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park |
| 2025 | Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification. | Yuanchen Bei, Weizhi Chen, Hao Chen, Sheng Zhou, Carl Ji Yang, Jiapei Fan, Longtao Huang, Jiajun Bu |
| 2025 | UnG-MoCha: Neural Motif Counting in Uncertain Graphs. | Lujie Ban, Xiaolin Han, Jinyang Li, Chenhao Ma |
| 2025 | A Unified Solution to Diverse Heterogeneities in One-Shot Federated Learning. | Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li, Yue Li |
| 2025 | Progressive Stacking for Scalable Graph Condensation. | Yibing Bai, Min Gao, Zongwei Wang, Xinyi Gao, Wentao Li |
| 2025 | AdKDD 2025. | Abraham Bagherjeiran, Nemanja Djuric, Kuang-chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan |
| 2025 | Responsible AI Day. | Ebrahim Bagheri, Faezeh Ensan, Calvin Hillis, Reihaneh Rabbany, Robin Cohen, Benjamin C. M. Fung, Sbastien Gambs |
| 2025 | OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning. | Anirudhan Badrinath, Alex Yang, Kousik Rajesh, Prabhat Agarwal, Jaewon Yang, Haoyu Chen, Jiajing Xu, Charles Rosenberg |
| 2025 | GRAND : Graph Reconstruction from Potential Partial Adjacency and Neighborhood Data. | Sofiane Azogagh, Zelma Aubin Birba, Jose Desharnais, Sbastien Gambs, Marc-Olivier Killijian, Nadia Tawbi |
| 2025 | Biological Pathway Guided Gene Selection Through Collaborative Reinforcement Learning. | Ehtesamul Azim, Dongjie Wang, Tae Hyun Hwang, Yanjie Fu, Wei Zhang |
| 2025 | Chainlet Orbits: Topological Address Embedding for Blockchain. | Poupak Azad, Baris Coskunuzer, Murat Kantarcioglu, Cuneyt Gurcan Akcora |
| 2025 | Hypergraph Motif Representation Learning. | Alessia Antelmi, Gennaro Cordasco, Daniele De Vinco, Valerio Di Pasquale, Mirko Polato, Carmine Spagnuolo |
| 2025 | Large Language Models: Architecture and Training. From Next-Word Prediction to Reasoning. | Jay Alammar |
901–925 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