Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation

While existing predictive frameworks are able to handle Euclidean structured data (i.e, brain images), they might fail to generalize to geometric non-Euclidean data such as brain networks. Besides, these are rooted the sample selection step in using Euclidean or learned similarity measure between ve...

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Veröffentlicht in:	arXiv.org 2020-09
Hauptverfasser:	Goktas, Ahmet Serkan, Bessadok, Alaa, Rekik, Islem
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Brain Embedding Euclidean geometry Evolution Networks Similarity Topology Training
Online-Zugang:	Volltext
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