BOOK-CHAPTER
Adaptive Graph Learning with Multi-graph Convolutions for Brain Disorder Classification
Fuad NomanRaphaël C.‐W. PhanHernando OmbaoChee‐Ming Ting
Year: 2025 Lecture notes in computer science Pages: 56-65 Publisher: Springer Science+Business Media
Keywords:
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
15
Refs
0.64
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Brain Tumor Detection and Classification
Life Sciences → Neuroscience → Neurology
Functional Brain Connectivity Studies
Life Sciences → Neuroscience → Cognitive Neuroscience
EEG and Brain-Computer Interfaces
Life Sciences → Neuroscience → Cognitive Neuroscience
Related Documents
JOURNAL ARTICLE
Multi-view Adaptive Graph Convolutions for Graph Classification
Journal: Zenodo (CERN European Organization for Nuclear Research) Year: 2020
BOOK-CHAPTER
Multi-view Adaptive Graph Convolutions for Graph Classification
Nikolas AdaloglouNicholas VretosPetros Daras
Lecture notes in computer science Year: 2020 Pages: 398-414
JOURNAL ARTICLE
Multi-graph learning with adaptive graph-bag mapping
Donglai FuTiantian LuJunyang Wang
Journal: Neural Networks Year: 2025 Vol: 195 Pages: 108316-108316
JOURNAL ARTICLE
Improving Variational Graph Autoencoders With Multi-Order Graph Convolutions
Lining YuanPing JiangWen ZhuJionghui Li
Journal: IEEE Access Year: 2024 Vol: 12 Pages: 46919-46929
JOURNAL ARTICLE
Versatile feature learning with graph convolutions and graph structures
Journal: 2021 International Conference on Data Mining Workshops (ICDMW) Year: 2021 Pages: 669-677