Zhu / Yu / Nadamoto Database Systems for Advanced Applications

30th International Conference, DASFAA 2025, Singapore, Singapore, May 26–29, 2025, Proceedings, Part III
Erscheinungsjahr 2026
ISBN: 978-981-953906-2
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 509 Seiten

Reihe: Lecture Notes in Computer Science

This six-volume set LNCS 15986-15991 constitutes the proceedings of the 30th International Conference on Database Systems for Advanced Applications, DASFAA 2025, held in Singapore, during May 26–29, 2025.
The 136 full papers presented in this book together with 89 short papers were carefully reviewed and selected from 731 submissions.They cover topics such as

Part I- Machine Learning and Text.
Part II- Emerging Application; NLP and Spatial-Temporal.
Part III- Graph; Knowledge Graph.
Part V- Recommendation and Security & Privacy.
Part VI- Language Model; Industry Papers and Demo Papers.

Zielgruppe

Research

Autoren/Hrsg.

Zhu, Feida

Yu, Philip S.

Nadamoto, Akiyo

Lim, Ee-Peng

Shim, Kyuseok

Ding, Wei

Zhang, Bingxue

Inhaltsverzeichnis

.- Graph.
.- Scalable GNN Training via Parameter Freeze and Layer Detachment.
.- Dual-prompting based Event Anomaly Detection in Dynamic Graphs.
.- STM: A Spatio-Temporal Model for Dynamic Graph Fraud Detection.
.- ICFF-Net: Interlaced cross-attention feature fusion network for music genre classification.
.- Structure-aware Self-supervised Graph Representation Learning.
.- NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization.
.- Efficient Maximum (a, ß)-Quasi Biclique Computation on Bipartite Graphs.