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 |
|---|---|---|
| 2024 | AnyLoss: Transforming Classification Metrics into Loss Functions. | Do Heon Han, Nuno Moniz, Nitesh V. Chawla |
| 2024 | Paths2Pair: Meta-path Based Link Prediction in Billion-Scale Commercial Heterogeneous Graphs. | Jinquan Hang, Zhiqing Hong, Xinyue Feng, Guang Wang, Guang Yang, Feng Li, Xining Song, Desheng Zhang |
| 2024 | FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. | Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He |
| 2024 | Expander Hierarchies for Normalized Cuts on Graphs. | Kathrin Hanauer, Monika Henzinger, Robin Mnk, Harald Rcke, Maximilian Vtsch |
| 2024 | Learning to Rank for Maps at Airbnb. | Malay Haldar, Hongwei Zhang, Kedar Bellare, Sherry Chen, Soumyadip Banerjee, Xiaotang Wang, Mustafa Abdool, Huiji Gao, Pavan Tapadia, Liwei He, Sanjeev Katariya |
| 2024 | SentHYMNent: An Interpretable and Sentiment-Driven Model for Algorithmic Melody Harmonization. | Stephen Hahn, Jerry Yin, Rico Zhu, Weihan Xu, Yue Jiang, Simon Mak, Cynthia Rudin |
| 2024 | Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors. | Croix Gyurek, Niloy Talukder, Mohammad Al Hasan |
| 2024 | LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment. | Yongfeng Gu, Yupeng Wu, Huakang Lu, Xingyu Lu, Hong Qian, Jun Zhou, Aimin Zhou |
| 2024 | Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. | Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen |
| 2024 | HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning. | Zhuoning Guo, Duanyi Yao, Qiang Yang, Hao Liu |
| 2024 | Ranking with Slot Constraints. | Wentao Guo, Andrew Wang, Bradon Thymes, Thorsten Joachims |
| 2024 | Multi-task Conditional Attention Network for Conversion Prediction in Logistics Advertising. | Baoshen Guo, Xining Song, Shuai Wang, Wei Gong, Tian He, Xue Liu |
| 2024 | Generative Auto-bidding via Conditional Diffusion Modeling. | Jiayan Guo, Yusen Huo, Zhilin Zhang, Tianyu Wang, Chuan Yu, Jian Xu, Bo Zheng, Yan Zhang |
| 2024 | Topology-Driven Multi-View Clustering via Tensorial Refined Sigmoid Rank Minimization. | Zhibin Gu, Zhendong Li, Songhe Feng |
| 2024 | Intelligent Agents with LLM-based Process Automation. | Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Chenyi Zhuang |
| 2024 | Transportation Marketplace Rate Forecast Using Signature Transform. | Haotian Gu, Xin Guo, Timothy L. Jacobs, Philip M. Kaminsky, Xinyu Li |
| 2024 | TSMO 2024: Two-sided Marketplace Optimization. | Mihajlo Grbovic, Vladan Radosavljevic, Minmin Chen, Katerina Iliakopoulou-Zanos, Thanasis Noulas, Amit Goyal, Fabrizio Silvestri |
| 2024 | Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. | Yanjie Gou, Yuanzhou Yao, Zhao Zhang, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu |
| 2024 | An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs. | Zheng Gong, Ying Sun |
| 2024 | A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction. | Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li |
| 2024 | Practical Machine Learning for Streaming Data. | Heitor Murilo Gomes, Albert Bifet |
| 2024 | The Third Workshop on Applied Machine Learning Management. | Dmitri Goldenberg, Shir Meir Lador, Elena Sokolova, Lin Lee Cheong, Mohak Sukhwani, Saloni Potdar |
| 2024 | Hierarchical Neural Constructive Solver for Real-world TSP Scenarios. | Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee |
| 2024 | KDD 2024 Special Day - AI for Environment. | Karina Gibert, Wee Hyong Tok, Miquel Snchez-Marr |
| 2024 | PATE: Proximity-Aware Time Series Anomaly Evaluation. | Ramin Ghorbani, Marcel J. T. Reinders, David M. J. Tax |
1,551–1,575 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