IM-MPNN coarsens a graph into multiple scales, runs message passing on each scale in parallel, and interleaves information between scales, improving long-range information flow in MPNNs.
Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing
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Improving the Effective Receptive Field of Message-Passing Neural Networks
IM-MPNN coarsens a graph into multiple scales, runs message passing on each scale in parallel, and interleaves information between scales, improving long-range information flow in MPNNs.