Article
Temporal graph neural networks for dynamic link prediction
Xu, D., Ruan, C., Korpeoglu, E.
https://doi.org/10.1007/s10618-026-00934-2Hybrid OA availableSpringer
Data Mining and Knowledge Discovery
ISSN: 1384-5810E-ISSN: 1573-756XEditor-in-Chief: Johannes Fürnkranz
4.8
Impact Factor
(2025)
1.7M
Downloads
(2025)
Bimonthly
Frequency
1997
First published
About this journal
Data Mining and Knowledge Discovery is an international journal that publishes research on the theory, techniques, and practice of extracting knowledge from large collections of data.
Latest articles
See all articles →ArticleOpen access
Efficient approximate nearest neighbor search in high dimensions
Malkov, Y., Yashunin, D.
https://doi.org/10.1007/s10618-026-00921-7Article
Federated data mining: privacy-preserving collaborative analytics
Yang, Q., Liu, Y., Chen, T.
https://doi.org/10.1007/s10618-026-00908-4ArticleOpen access
Concept drift detection in non-stationary data streams
Gama, J., Žliobaitė, I., Bifet, A.
https://doi.org/10.1007/s10618-026-00895-6Aims and scope
The journal provides a forum for research on the theory, techniques, and practice of extracting knowledge from large collections of data, including both structured and unstructured data.
Topics covered include:
- Association rule mining
- Clustering and classification
- Anomaly and outlier detection
- Stream data mining
- Graph and network mining
- Text and web mining
- Privacy-preserving data mining
- Scalable algorithms for big data