CAMP updates nodes in centrality-ranked batches to spread information across GNN layers and claims to reduce oversquashing without rewiring, but the proof and evidence are not convincing.
Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing,
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Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks
CAMP updates nodes in centrality-ranked batches to spread information across GNN layers and claims to reduce oversquashing without rewiring, but the proof and evidence are not convincing.