Orbit-equivariant graph neural networks
Equivariance is an important structural property that is captured by architectures such as graph neural networks (GNNs). However, equivariant graph functions cannot produce different outputs for similar nodes, which may be undesirable when the function is trying to optimize some global graph propert...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
OpenReview
2024
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