GCNFusion: an efficient graph convolutional network based model for information diffusion
Investigating the dynamics of spreading processes in real-world applications such as pathogen spread prediction, marketing, political events, etc has attracted the attention of researchers from a variety of fields. Influence-based information diffusion is one convincing attempt to solve the informat...
Główni autorzy: | , , , |
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Format: | Journal article |
Język: | English |
Wydane: |
Elsevier
2022
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