Disentangled Generative Graph Representation Learning
概要
arXiv:2408.13471v2 Announce Type: replace-cross Abstract: Recently, generative graph models have shown promising results in learning graph representations through self-supervised methods. However, most existing generative graph representation learning (GRL) approaches rely on random masking across …
