Efficient Learning-Based Graph Simulation for Temporal Graphs

Graph simulation has recently received a surge of attention in graph processing and analytics. In real-life applications, e.g. social science, biology, and chemistry, many graphs are composed of a series of evolving graphs (i.e., temporal graphs). While most of the existing graph generators focus on...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Data engineering S. 251 - 264
Hauptverfasser:	Xiang, Sheng, Xu, Chenhao, Cheng, Dawei, Wang, Xiaoyang, Zhang, Ying
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 19.05.2025
Schlagworte:	Autoencoders Biology Generators Graph Neural Network Graph neural networks Graph Simulation Information technology Learning systems Memory management Social sciences Surges Temporal Graphs Training
ISSN:	2375-026X
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!