Capturing graphs with hypo-elliptic diffusions
Convolutional layers within graph neural networks operate by aggregating information about local neighbourhood structures; one common way to encode such substructures is through random walks. The distribution of these random walks evolves according to a diffusion equation defined using the graph Lap...
Main Authors: | , , , |
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Format: | Conference item |
Language: | English |
Published: |
Curran Associates
2023
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