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Carlo Abate

1 accepted papers

2025

MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks

ICLR 2025poster

We propose a novel approach to compute the MAXCUT in attributed graphs, i.e., graphs with features associated with nodes and edges. Our approach works well on any kind of graph topology and can find solutions that jointly optimize the MAXCUT along with other objectives. Based on the obtained MAXCUT…