xVGAE: A Hierarchical Variational Graph Autoencoder for Exchangeable Graphs
arXiv:2610.30815v1 Announce Type: new Abstract: Graphs play a crucial role in many applications, ranging from drug discovery to social network modeling and astronomy. Generative models for graphs have substantially advanced in recent years, but we identify relatively simple scenarios where state-of…
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- 2026-10-23 04:00 · arXiv stat.ML
xVGAE: A Hierarchical Variational Graph Autoencoder for Exchangeable Graphs