Discovering the Signal Subgraph: An Iterative Screening Approach on Graphs

Supervised learning on graphs is a challenging task due to the high dimensionality and inherent structural dependencies in the data, where each edge depends on a pair of vertices. Existing conventional methods are designed for standard Euclidean data and do not account for the structural information...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Shen, Cencheng, Wang, Shangsi, Badea, Alexandra, Priebe, Carey E, Vogelstein, Joshua T
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Apexes Classification Domains Gender aspects Graph theory Graphs Machine learning Magnetic resonance imaging Performance enhancement Regression analysis Screening Statistical analysis Statistical inference Statistics - Methodology
Online-Zugang:	Volltext
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