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 | Generative AI in E-Commerce: What Can We Expect? | Haixun Wang |
| 2024 | Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks. | Yuwen Wang, Shunyu Liu, Tongya Zheng, Kaixuan Chen, Mingli Song |
| 2024 | Future Impact Decomposition in Request-level Recommendations. | Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Kun Gai, Guangming Xie |
| 2024 | DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows. | Yiping Wang, Yanhao Wang, Cen Chen |
| 2024 | Breaking Barriers: A Hands-On Tutorial on AI-Enabled Accessibility to Social Media Content. | Julio Villena, Rosa Catal, Janine Garca, Concepcin Polo, Yessika Labrador, Francisco del-Valle, Bhargav Ayyagari |
| 2024 | Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners. | Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan |
| 2024 | The 4 | Steven Ullman, Benjamin M. Ampel, Sagar Samtani, Shanchieh Yang, Hsinchun Chen |
| 2024 | R-Eval: A Unified Toolkit for Evaluating Domain Knowledge of Retrieval Augmented Large Language Models. | Shangqing Tu, Yuanchun Wang, Jifan Yu, Yuyang Xie, Yaran Shi, Xiaozhi Wang, Jing Zhang, Lei Hou, Juanzi Li |
| 2024 | Graph Reasoning with LLMs (GReaL). | Anton Tsitsulin, Bryan Perozzi, Bahare Fatemi, Jonathan J. Halcrow |
| 2024 | Choosing a Proxy Metric from Past Experiments. | Nilesh Tripuraneni, Lee Richardson, Alexander D'Amour, Jacopo Soriano, Steve Yadlowsky |
| 2024 | Rotative Factorization Machines. | Zhen Tian, Yuhong Shi, Xiangkun Wu, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | Latent Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model. | Yuxing Tian, Aiwen Jiang, Qi Huang, Jian Guo, Yiyan Qi |
| 2024 | The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations. | Ankur Teredesai, Michael Zeller, Mohak Shah, Shenghua Bao, Wee Hyong Tok, Linsey Pang |
| 2024 | URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering. | Ge Teng, Ting Mao, Chen Shen, Xiang Tian, Xuesong Liu, Yaowu Chen, Jieping Ye |
| 2024 | Causal Estimation of Exposure Shifts with Neural Networks and an Application to Inform Air Quality Standards in the US. | Mauricio Tec, Kevin Josey, Oladimeji Mudele, Francesca Dominici |
| 2024 | EcoVal: An Efficient Data Valuation Framework for Machine Learning. | Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Hong Ming Tan, Bowei Chen, Mohan S. Kankanhalli |
| 2024 | Beimingwu: A Learnware Dock System. | Zhi-Hao Tan, Jian-Dong Liu, Xiao-Dong Bi, Peng Tan, Qin-Cheng Zheng, Hai-Tian Liu, Yi Xie, Xiao-Chuan Zou, Yang Yu, Zhi-Hua Zhou |
| 2024 | HiGPT: Heterogeneous Graph Language Model. | Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang |
| 2024 | Business Policy Experiments using Fractional Factorial Designs: Consumer Retention on DoorDash. | Yixin Tang, Yicong Lin, Navdeep S. Sahni |
| 2024 | Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning. | Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li |
| 2024 | Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. | Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2024 | Hierarchical Linear Symbolized Tree-Structured Neural Processes. | Jinyang Tai, Yi-Ke Guo |
| 2024 | First Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis |
| 2024 | PEMBOT: Pareto-Ensembled Multi-task Boosted Trees. | Gokul Swamy, Anoop Saladi, Arunita Das, Shobhit Niranjan |
| 2024 | Spending Programmed Bidding: Privacy-friendly Bid Optimization with ROI Constraint in Online Advertising. | Yumin Su, Min Xiang, Yifei Chen, Yanbiao Li, Tian Qin, Hongyi Zhang, Yasong Li, Xiaobing Liu |
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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