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 | Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks. | Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou |
| 2025 | PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint. | Zimu Wang, Hao Zou, Han Yu, Shaohua Fan, Haotian Wang, Yue He, Peng Cui |
| 2025 | Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels. | Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu |
| 2025 | A Framework for Evaluating AI Agents in Open-Ended Conversations via Scripted Simulation. | Clarice Wang, Yimin Shi, Xiaokui Xiao |
| 2025 | Generative Next POI Recommendation with Semantic ID. | Dongsheng Wang, Yuxi Huang, Shen Gao, Yifan Wang, Chengrui Huang, Shuo Shang |
| 2025 | Improved Accuracy, Declining Orders: Uncovering the Vicious Competition Trap in Multi-Domain Recommendation. | Dan Wang, Zijian Song, Lifang Deng, Yihuan Wu, Jin Niu, Jiandong Zhang, Kaigui Bian, Bin Cui |
| 2025 | GraphTool-Instruction: Revolutionizing Graph Reasoning in LLMs through Decomposed Subtask Instruction. | Rongzheng Wang, Shuang Liang, Qizhi Chen, Jiasheng Zhang, Ke Qin |
| 2025 | An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem. | Mingzhao Wang, You Zhou, Zhiguang Cao, Yubin Xiao, Xuan Wu, Wei Pang, Yuan Jiang, Hui Yang, Peng Zhao, Yuanshu Li |
| 2025 | FedSC: Federated Learning with Semantic-Aware Collaboration. | Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen |
| 2025 | Dynamic Causal Structure Discovery and Causal Effect Estimation. | Jianian Wang, Rui Song |
| 2025 | TAG2M- A Task-Agnostic Knowledge Distillation Framework for Distilling GNN to MLP. | Ram Ganesh V, Ayush Singh, Aditi Rai, Harsh Pal, Deepanshu Bagotia, Akshay Sethi, Aakarsh Malhotra, Sayan Ranu |
| 2025 | Matryoshka Model Learning for Improved Elastic Student Models. | Chetan Verma, Aditya Srinivas Timmaraju, Cho-Jui Hsieh, Suyash Damle, Ngot Bui, Yang Zhang, Wen Chen, Xin Liu, Prateek Jain, Inderjit S. Dhillon |
| 2025 | An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify. | Shivam Verma, Vivian Chen, Darren Mei |
| 2025 | Bayesian Stream Tuner: Dynamic Hyperparameter Optimization for Real-Time Data Streams. | Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri |
| 2025 | The Hitchhikers Guide to Production-ready Trustworthy Foundation Model Powered Software (FMware). | Kirill Vasilevski, Gopi Krishnan Rajbahadur, Gustavo Ansaldi Oliva, Benjamin Rombaut, Keheliya Gallaba, Filipe Roseiro Cgo, Jiahuei (Justina) Lin, Dayi Lin, Haoxiang Zhang, Bouyan Chen, Kishanthan Thangarajah, Ahmed E. Hassan, Zhen Ming (Jack) Jiang |
| 2025 | Scaling the Vocabulary of Non-autoregressive Models for Fast Generative Retrieval. | Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha |
| 2025 | How Well Calibrated are Extreme Multi-label Classifiers? An Empirical Analysis. | Nasib Ullah, Erik Schultheis, Jinbin Zhang, Rohit Babbar |
| 2025 | Causality - Exploiting Multi-Modal Data. | Caroline Uhler |
| 2025 | Cross-Species Insights: Transforming Drug Efficacy from Rats to Humans Using Tissue-Specific Generative Models. | Sally Turutov, Kira Radinsky |
| 2025 | Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models. | Shangqing Tu, Zhuoran Pan, Wenxuan Wang, Zhexin Zhang, Yuliang Sun, Jifan Yu, Hongning Wang, Lei Hou, Juanzi Li |
| 2025 | ASTNet: Asynchronous Spatio-Temporal Network for Large-Scale Chemical Sensor Forecasting. | Shihao Tu, Yang Yang, Wenyue Ding, Yicheng Lu, Qingkai Ren, Yupeng Zhang, Yin Zhang |
| 2025 | GROOT: Effective Design of Biological Sequences with Limited Experimental Data. | Thanh V. T. Tran, Nhat Khang Ngo, Viet Anh Nguyen, Truong Son Hy |
| 2025 | From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation. | Zhenyu Tong, Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Jingshuai Zhang, Chen Zhu, Hengshu Zhu |
| 2025 | MLDGG: Meta-Learning for Domain Generalization on Graphs. | Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li |
| 2025 | A Guide to Misinformation Detection Data and Evaluation. | Camille Thibault, Jacob-Junqi Tian, Gabrielle Ploquin-Skulski, Taylor Lynn Curtis, James Zhou, Florence Laflamme, Luke Yuxiang Guan, Reihaneh Rabbany, Jean-Franois Godbout, Kellin Pelrine |
451–475 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