Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs

no code implementations • 16 Oct 2023 • Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro

Building upon this concept, we investigate NTKs and alignment in the context of graph neural networks (GNNs), where our analysis reveals that optimizing alignment translates to optimizing the graph representation or the graph shift operator in a GNN.

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