Revealing decurve flows for generalized graph propagation
<p>This study addresses the limitations of the traditional analysis of message-passing, central to graph learning, by defining generalized propagation with directed and weighted graphs. The significance manifest in two ways. Firstly, we propose Generalized Propagation Neural Networks (GPNNs),...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
2024
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