Ising on the Graph: Task-specific Graph Subsampling via the Ising Model

Reducing a graph while preserving its overall structure is an important problem with many applications. Typically, reduction approaches either remove edges (sparsification) or merge nodes (coarsening) in an unsupervised way with no specific downstream task in mind. In this paper, we present an appro...

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Veröffentlicht in:	arXiv.org 2024-10
Hauptverfasser:	Bånkestad, Maria, Andersson, Jennifer R, Mair, Sebastian, Sjölund, Jens
Format:	Artikel
Sprache:	eng
Schlagworte:	Graph neural networks Image segmentation Ising model Nodes
Online-Zugang:	Volltext
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