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 | ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising. | Ruize Wang, Hui Xu, Ying Cheng, Qi He, Xing Zhou, Rui Feng, Wei Xu, Lei Huang, Jie Jiang |
| 2024 | FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning. | Zihui Wang, Zheng Wang, Lingjuan Lyu, Zhaopeng Peng, Zhicheng Yang, Chenglu Wen, Rongshan Yu, Cheng Wang, Xiaoliang Fan |
| 2024 | Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. | Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang |
| 2024 | A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. | Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen |
| 2024 | Routing Evidence for Unseen Actions in Video Moment Retrieval. | Guolong Wang, Xun Wu, Zheng Qin, Liangliang Shi |
| 2024 | Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. | Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu |
| 2024 | LiMAML: Personalization of Deep Recommender Models via Meta Learning. | Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, S. Sathiya Keerthi, Ajith Muralidharan |
| 2024 | DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference. | Shuliang Wang, Xinyu Pan, Sijie Ruan, Haoyu Han, Ziyu Wang, Hanning Yuan, Jiabao Zhu, Qi Li |
| 2024 | Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. | Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou |
| 2024 | STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts. | Binwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang |
| 2024 | The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. | Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang |
| 2024 | Robust Predictions with Ambiguous Time Delays: A Bootstrap Strategy. | Jiajie Wang, Zhiyuan Jerry Lin, Wen Chen |
| 2024 | Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. | Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou |
| 2024 | DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. | Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li |
| 2024 | BacktrackSTL: Ultra-Fast Online Seasonal-Trend Decomposition with Backtrack Technique. | Haoyu Wang, Hongke Guo, Zhaoliang Zhu, You Zhang, Yu Zhou, Xudong Zheng |
| 2024 | AsyncET: Asynchronous Representation Learning for Knowledge Graph Entity Typing. | Yun-Cheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo |
| 2024 | Know in | Xiaoyu Wang, Yonghui Guo, Hui Sheng, Peili Lv, Chi Zhou, Wei Huang, Shiqin Ta, Dongbo Huang, Xiujin Yang, Lan Xu, Hao Zhou, Yusheng Ji |
| 2024 | Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. | Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu |
| 2024 | Advancing Molecule Invariant Representation via Privileged Substructure Identification. | Ruijia Wang, Haoran Dai, Cheng Yang, Le Song, Chuan Shi |
| 2024 | A Novel Prompt Tuning for Graph Transformers: Tailoring Prompts to Graph Topologies. | Jingchao Wang, Zhengnan Deng, Tongxu Lin, Wenyuan Li, Shaobin Ling |
| 2024 | Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks. | Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng |
| 2024 | Multi-Scale Detection of Anomalous Spatio-Temporal Trajectories in Evolving Trajectory Datasets. | Chenhao Wang, Lisi Chen, Shuo Shang, Christian S. Jensen, Panos Kalnis |
| 2024 | KDD 2024 Finance Day. | Guiling Wang, Daniel Borrajo |
| 2024 | POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. | Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen |
| 2024 | Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. | Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li |
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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