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.
Characterization of generalizability of spike timing dependent plasticity trained spiking neural networks
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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.