Reposted by Emily Simons
Big graph, little compute?
In our #NeurIPS2025 paper we propose geometry-aware edge-contraction-based pooling methods for GNNs.
Our methods preserve graph structure, make interpretable pooling choices, and ensure robust performance at downstream tasks.
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