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GitHub topics: graph-fusion

basiralab/GNNs-in-Network-Neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

Size: 55.7 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 228 - Forks: 28

basiralab/DGN

How to fuse a population of graphs into a single one using graph neural networks?

Language: Python - Size: 7.69 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 10

basiralab/Fed-CBT

Federated multigraph integration with application to connectional brain template estimation.

Language: Python - Size: 2.32 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 3

basiralab/SM-netFusion-PY

Supervised graph diffusion and fusion.

Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

basiralab/ReMI-Net

Recurrent multigraph integrator network using graph neural network.

Language: Python - Size: 33.4 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

basiralab/NAGFS

NAG-FS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification.

Language: MATLAB - Size: 2.47 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

basiralab/NAGFS-PY

NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.

Language: Python - Size: 65.4 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 2