DeltaGNN introduces a linear-time, embedding-derived information flow score for edge filtering and uses it to mitigate over-smoothing and over-squashing in semi-supervised node classification.
The graph neural network model,
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DeltaGNN: Graph Neural Network with Information Flow Control
DeltaGNN introduces a linear-time, embedding-derived information flow score for edge filtering and uses it to mitigate over-smoothing and over-squashing in semi-supervised node classification.