DYNAMO-GAT prunes GNN attention edges between highly correlated nodes to prevent oversmoothing, but its main theoretical lemma contradicts its goal and its accuracy claims exceed its own table.
Brain-inspired spiking neural network for online unsupervised time series prediction
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A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
DYNAMO-GAT prunes GNN attention edges between highly correlated nodes to prevent oversmoothing, but its main theoretical lemma contradicts its goal and its accuracy claims exceed its own table.