BIMP, a continuous-depth GNN based on nonlinear opinion dynamics, is shown to avoid oversmoothing when its constant input has unique entries, and it outperforms baselines on ten node-classification datasets.
Systems of differential equations that are competitive or cooperative ii: Convergence almost everywhere
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Resolving Oversmoothing with Opinion Dissensus
BIMP, a continuous-depth GNN based on nonlinear opinion dynamics, is shown to avoid oversmoothing when its constant input has unique entries, and it outperforms baselines on ten node-classification datasets.