NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.
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Updated
Mar 30, 2020 - Python
NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.
Learning-guided Graph Dual Adversarial Domain Alignment (LG-DADA) framework for predicting a target graph from a source graph.
Graph registration network using representative templates
Intermodalitty graph superresolution.
Diffusion-based Graph Super-resolution
L2S-KDNet for super-resolving brain graphs using teacher-student network
One-representative shot learning for graph classification.
Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs? (Python3 version)
Federated Multimodal and Multiresolution Graph Integration
Recurrent multigraph neural network
Recurrent Dynamic Graph Mapper using GNN
Non-isomorphic Inter-modality Graph Alignment and Synthesis.
StairwayGraphNet for inter- and inter-modality graph superresolution.
Federated time-dependent graph evolution prediction with missing timepoints.
Federated multigraph integration with application to connectional brain template estimation.
Predicting the multi-trajectory evolution of multimodal brain connectivity.
A differentiable program for mapping brain function
Recurrent multigraph integrator network using graph neural network.
Multigraph generation from a source graph.
netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.
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