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 | Responsible AI Day. | Ricardo Baeza-Yates, Nataly Busln |
| 2024 | Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate. | Minyoung Bae, Yooju Shin, Youngeun Nam, Youngseop Lee, Jae-Gil Lee |
| 2024 | A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs. | Amitoz Azad, Yuan Fang |
| 2024 | Statistical Models of Top- | Amel Awadelkarim, Johan Ugander |
| 2024 | From Word-prediction to Complex Skills: Compositional Thinking and Metacognition in LLMs. | Sanjeev Arora |
| 2024 | Dense Subgraph Discovery Meets Strong Triadic Closure. | Chamalee Wickrama Arachchi, Iiro Kumpulainen, Nikolaj Tatti |
| 2024 | DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. | Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu |
| 2024 | Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). | Mehwish Alam, Davide Buscaldi, Michael Cochez, Genet Asefa Gesese, Francesco Osborne, Diego Reforgiato Recupero |
| 2024 | Machine Learning in Finance. | Leman Akoglu, Nitesh V. Chawla, Josep Domingo-Ferrer, Eren Kurshan, Senthil Kumar, Vidyut M. Naware, Jos A. Rodrguez-Serrano, Isha Chaturvedi, Saurabh Nagrecha, Mahashweta Das, Tanveer A. Faruquie |
| 2024 | Resilient k-Clustering. | Sara Ahmadian, MohammadHossein Bateni, Hossein Esfandiari, Silvio Lattanzi, Morteza Monemizadeh, Ashkan Norouzi-Fard |
| 2024 | Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization. | Andrea Agiollo, Young In Kim, Rajiv Khanna |
| 2024 | GEO: Generative Engine Optimization. | Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande |
| 2024 | Television Discourse Decoded: Comprehensive Multimodal Analytics at Scale. | Anmol Agarwal, Pratyush Priyadarshi, Shiven Sinha, Shrey Gupta, Hitkul Jangra, Ponnurangam Kumaraguru, Kiran Garimella |
| 2024 | Dynamic Pricing for Multi-Retailer Delivery Platforms with Additive Deep Learning and Evolutionary Optimization. | Ahmed Abdulaal, Ali Polat, Hari Narayan, Wenrong Zeng, Yimin Yi |
| 2024 | Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text. | Sara Abdali, Richard Anarfi, C. J. Barberan, Jia He |
| 2024 | CutAddPaste: Time Series Anomaly Detection by Exploiting Abnormal Knowledge. | Rui Wang, Xudong Mou, Renyu Yang, Kai Gao, Pin Liu, Chongwei Liu, Tianyu Wo, Xudong Liu |
| 2024 | Untitled record | Yi Liu, Cong Wang, Xingliang Yuan |
| 2024 | Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. | Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan |
| 2024 | UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. | Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li |
| 2024 | CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. | Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng |
| 2024 | Distributional Network of Networks for Modeling Data Heterogeneity. | Jun Wu, Jingrui He, Hanghang Tong |
| 2024 | Truthful Bandit Mechanisms for Repeated Two-stage Ad Auctions. | Haoming Li, Yumou Liu, Zhenzhe Zheng, Zhilin Zhang, Jian Xu, Fan Wu |
| 2024 | Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously. | Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen |
| 2024 | Multi-objective Learning to Rank by Model Distillation. | Jie Tang, Huiji Gao, Liwei He, Sanjeev Katariya |
| 2024 | A Review of Graph Neural Networks in Epidemic Modeling. | Zewen Liu, Guancheng Wan, B. Aditya Prakash, Max S. Y. Lau, Wei Jin |
1,676–1,700 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