The authors argue GNN oversmoothing is overstated, that zero-collapsing (vanishing gradient) is the actual failure mode, and that residual connections plus batch normalization suffice to train very deep GCNs.
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The Oversmoothing Fallacy: A Misguided Narrative in GNN Research
The authors argue GNN oversmoothing is overstated, that zero-collapsing (vanishing gradient) is the actual failure mode, and that residual connections plus batch normalization suffice to train very deep GCNs.