Graph-dependent pooling: adaptive granularity in hierarchical graph neural networks.

arXiv:2610.33623v1 Announce Type: new Abstract: Graph Neural Networks are widely used to learn structural representations of relational data. Hierarchical graph pooling learns multi-level representations by progressively coarsening graphs; however, prior metho