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News/Graph-dependent pooling: adaptive granularity in hierarchical graph neural networks
arxiv
PublishedOctober 27, 2026 at 4:00 AM

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

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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 methods rely on predefined cluster numbers or

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