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 | On the Scalability of Temporal Relative Positional Encoding for Dynamic Link Prediction. | Ke Cheng, Linzhi Peng, Pengyang Wang, Heng Chang, Junchen Ye, Bowen Du |
| 2025 | GiGL: Large-Scale Graph Neural Networks at Snapchat. | Tong Zhao, Yozen Liu, Matthew Kolodner, Kyle Montemayor, Elham Ghazizadeh, Ankit Batra, Zihao Fan, Xiaobin Gao, Xuan Guo, Jiwen Ren, Serim Park, Peicheng Yu, Jun Yu, Shubham Vij, Neil Shah |
| 2025 | Boosting E-commerce Content Diversity: A Graph-based RAG Approach with User Reviews. | Jiaxi Yang, Yiling Jia, Carl Yang, Yi Liang, Lu Lin |
| 2025 | BurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems. | Yuxin Wang, Yuhan Chen, Zeyu Li, Xueze Kang, Yuchu Fang, Yeju Zhou, Yang Zheng, Zhenheng Tang, Xin He, Rui Guo, Xin Wang, Qiang Wang, Amelie Chi Zhou, Xiaowen Chu |
| 2025 | KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG. | Yiqian Huang, Shiqi Zhang, Xiaokui Xiao |
| 2025 | CMA: A Unified Contextual Meta-Adaptation Methodology for Time-Series Denoising and Prediction. | Haiqi Jiang, Ying Ding, Chenjie Pan, Aimin Huang, Rui Chen, Chenyou Fan |
| 2025 | Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space. | Kazuki Ishikawa, Ryota Ozaki, Yohei Kanzaki, Ichiro Takeuchi, Masayuki Karasuyama |
| 2025 | TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection. | Mengxuan Li, Ke Liu, Hongyang Chen, Jiajun Bu, Hongwei Wang, Haishuai Wang |
| 2025 | Supervised Learning-enhanced Multi-Group Actor Critic for Live Stream Allocation in Feed. | Jingxin Liu, Xiang Gao, YiSha Li, Xin Li, Haiyang Lu, Ben Wang |
| 2025 | MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets. | Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, Edith C. H. Ngai |
| 2025 | Fast and Accurate Temporal Hypergraph Representation for Hyperedge Prediction. | Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Xiwei Xu, Xuemin Lin |
| 2025 | Boosting Deep Vector Quantization with Progressive Distribution Transformation. | Weikang Wang, Xin Zhou, Jun Liu, Weifeng Zhang, Huan Yan |
| 2025 | Surface-based Molecular Design with Multi-modal Flow Matching. | Fang Wu, Zhengyuan Zhou, Shuting Jin, Xiangxiang Zeng, Jure Leskovec, Jinbo Xu |
| 2025 | TempASD: Temporal Anomalous Subgraph Discovery in Large-Scale Dynamic Financial Networks. | Xiaolin Han, Yikun Zhang, Chenhao Ma, Lingyun Song, Reynold Cheng, Xuequn Shang |
| 2025 | Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective. | Xiaoshan Yu, Shangshang Yang, Jian Li, Ziwen Wang, Chuan Qin, Haiping Ma, Xingyi Zhang |
| 2025 | MapExplorer: New Content Generation from Low-Dimensional Visualizations. | Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei |
| 2025 | Player-Team Heterogeneous Interaction Graph Transformer for Soccer Outcome Prediction. | Lintao Wang, Shiwen Xu, Michael Horton, Joachim Gudmundsson, Zhiyong Wang |
| 2025 | Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. | Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong |
| 2025 | LinkSAGE: Optimizing Job Matching Using Graph Neural Networks. | Ping Liu, Haichao Wei, Xiaochen Hou, Jianqiang Shen, Shihai He, Qianqi Shen, Zhujun Chen, Fedor Borisyuk, Daniel Hewlett, Liang Wu, Srikant Veeraraghavan, Alex Tsun, Chengming Jiang, Wenjing Zhang |
| 2025 | The Expressibility of Polynomial based Attention Scheme. | Zhao Song, Chongxi Wang, Guangyi Xu, Junze Yin |
| 2025 | Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification. | Haipeng Ding, Zhewei Wei, Yuhang Ye |
| 2025 | Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness. | Chuang Zhao, Hui Tang, Hongke Zhao, Xiaomeng Li |
| 2025 | Paper-Level Computerized Adaptive Testing for High-Stakes Examination via Multi-Objective Optimization. | Mingjia Li, Junkai Tong, Yiyang Huang, Yifei Ding, Hong Qian, Aimin Zhou |
| 2025 | MOSS: Multi-Objective Optimization for Stable Rule Sets. | Brian Liu, Rahul Mazumder |
| 2025 | Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks. | Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo, Hua Wei |
1,001–1,025 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