Multi-view Brain HyperConnectome AutoEncoder for Brain State Classification

• Published in: Predictive Intelligence in Medicine Vol. 12329; pp. 101 - 110
• Main Authors: Banka, Alin, Buzi, Inis, Rekik, Islem
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2020; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Adversarial learning; Brain hyperconnectome; Brain state classification; Geometric hyperconnectome autoencoder; Multi-view brain networks

Graph embedding is a powerful method to represent graph neurological data (e.g., brain connectomes) in a low dimensional space for brain connectivity mapping, prediction and classification. However, existing embedding algorithms have two major limitations. First, they primarily focus on preserving o...