Random walk based conditional generative model for temporal networks with attributes

Random walk based conditional generative model for temporal networks with attributes

We propose a novel method for graph time series generation with node and edge attributes. As graph representations for complex data become increasingly popular, we encounter many time series of graphs with temporal and attribute dependencies, such as communication networks, daily bike rentals or b...

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Bibliografiske detaljer
Main Authors:	Limnios, S, Elliott, A, Cucuringu, M, Reinert, G
Format:	Conference item
Sprog:	English
Udgivet:	Neural Information Processing Systems Foundation 2022

Lignende værker

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