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geometric flow

topic1 events
papersTODAY 04:00 UTC

Geometric Flow Method Improves Graph Coarsening for GNN Pooling

A new arXiv paper proposes using geometric flow techniques to enhance graph coarsening, a pooling step used in graph convolutional networks to cut computational cost. The approach aims to reduce the expense of graph pooling operations that mirror pooling in standard convolutional networks. The work is a preprint and reports on method design rather than deployed results.

graph-neural-networks/arxiv/efficiency/research