Corpus ID: 221377317

Deep Hypergraph U-Net for Brain Graph Embedding and Classification

@article{Lostar2020DeepHU,
  title={Deep Hypergraph U-Net for Brain Graph Embedding and Classification},
  author={Mert Lostar and Islem Rekik},
  journal={ArXiv},
  year={2020},
  volume={abs/2008.13118}
}
-Background. Network neuroscience examines the brain as a complex system represented by a network (or connectome), providing deeper insights into the brain morphology and function, allowing the identification of atypical brain connectivity alterations, which can be used as diagnostic markers of neurological disorders. -Existing Methods. Graph embedding methods which map data samples (e.g., brain networks) into a low dimensional space have been widely used to explore the relationship between… Expand

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