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shap

A game theoretic approach to explain the output of any machine learning model.

pytorch_geometric

Graph Neural Network Library for PyTorch

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

computer-vision-in-action

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

zihao_course

同济子豪兄的公开课

gcn_metric_learning

Metric Learning with Graph Convolutional Neural Networks

abide

ABIDE Preprocessed Initiative

neuroCombat

Harmonization of multi-site imaging data with ComBat (Python)

cnslab_fmri

CNS (Computational Neuroscience) Lab project for age/sex classification of fMRI scans

pGAN-cGAN

Official implementations of the pixel-wise and cycle-consistency GAN models for multi-contrast MRI synthesis

eigenpooling

An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"

SpatialAlignmentNetwork

code for Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network

PaperScripts

Scripts for our papers. Readers can check, replicate or make use of the scripts in their future studies.

CVPR2022-OrphicX

Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks."

LG-GNN

This repo is the official implementation of "Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks" published in IEEE Transactions on Medical Imaging.

ASD-DiagNet

BrainGNN_Pytorch

A preliminary implementation of BrainGNN

hi-GCN

Code of hi-GCN

ST-fMRI

This repository contains code for spatio-temporal deep learning on functional MRI data

MVS-GCN

The official implementation of MVS-GCN

Machine-learning-based-classification-of-Schizophrenic-and-Healthy-control-Using-Resting-State-fMRI

My Bachelor's Thesis on Automated Classification of Schizophrenic from Healthy subjects by analyzing Resting State Networks using Machine Learning, Signal Processing and Computer Vision algorithms

GroupINN

GNN with summarization/grouping layer for speed and interpretability

cs230-final-project

CS 230 Final project. Owned by Soham Gadgil, Sun Woo Kang, and Erick Siavichay-Velasco

CGNN

Multi-Head-GAGNN

reproducibleFedGNN

Investigating the reproducibility of federated GNN models

BrainGSL

IresNet

TE-HI-GCN