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...

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Vydané v:	Data engineering s. 251 - 264
Hlavní autori:	Xiang, Sheng, Xu, Chenhao, Cheng, Dawei, Wang, Xiaoyang, Zhang, Ying
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 19.05.2025
Predmet:	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
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