Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework

11 Sep 2020Aravind SankarJunting WangAdit KrishnanHari Sundaram

We present InfoMotif, a new semi-supervised, motif-regularized, learning framework over graphs. We overcome two key limitations of message passing in popular graph neural networks (GNNs): localization (a k-layer GNN cannot utilize features outside the k-hop neighborhood of the labeled training nodes) and over-smoothed (structurally indistinguishable) representations... (read more)

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