A graphon can be estimated in polynomial time by training an implicit neural representation to match empirical subgraph counts, and mixing graph moments in this space yields augmented graphs for classification.
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A Few Moments Please: Scalable Graphon Learning via Moment Matching
A graphon can be estimated in polynomial time by training an implicit neural representation to match empirical subgraph counts, and mixing graph moments in this space yields augmented graphs for classification.