Regression Graph Neural Network (regGNN) for cognitive score prediction.
-
Updated
Apr 19, 2023 - Python
Regression Graph Neural Network (regGNN) for cognitive score prediction.
Deep hypergraph U-Net (HUNet) for brain graph embedding and classification.
Graph SuperResolution Network using geometric deep learning.
HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
Predicting multigraph brain population from a single graph
MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.
Multigraph fusion and classification network using graph neural network
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
Methods for estimating time-varying functional connectivity (TVFC)
netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.
Recurrent multigraph neural network
Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs? (Python3 version)
Federated Multimodal and Multiresolution Graph Integration
Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
Non-isomorphic Inter-modality Graph Alignment and Synthesis.
The python implementation of the Network Noise Rejection method for community detection in undirected networks. Find the origin matlab version here: https://github.com/mdhumphries/NetworkNoiseRejection
One-representative shot learning for graph classification.
Benchmarks for functional connectivity estimators and FCEst Python package
Heterogeneous federated learning for graph super-resolution
NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.
Add a description, image, and links to the network-neuroscience topic page so that developers can more easily learn about it.
To associate your repository with the network-neuroscience topic, visit your repo's landing page and select "manage topics."