Topic: "graph-superresolution"
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: 19 days ago - Pushed at: about 2 years ago - Stars: 228 - Forks: 28

basiralab/GSR-Net
Graph SuperResolution Network using geometric deep learning.
Language: Python - Size: 16.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 0

basiralab/BGSR-PY
Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs? (Python3 version)
Language: Python - Size: 26.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

basiralab/SG-Net
StairwayGraphNet for inter- and inter-modality graph superresolution.
Language: Python - Size: 2.67 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

basiralab/BGSR
Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs?
Language: MATLAB - Size: 129 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

basiralab/TIS-Net
Intermodalitty graph superresolution.
Language: Python - Size: 20.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 2

basiralab/IMANGraphNet
Non-isomorphic Inter-modality Graph Alignment and Synthesis.
Language: Python - Size: 1.48 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

basiralab/Dif-GSR
Diffusion-based Graph Super-resolution
Language: Python - Size: 1.42 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
