Meta-RegGNN

A performant, powerful query framework to search for network motifs

Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation

"Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding" (MICCAI 2023)

A python package for finding causal functional connectivity from neural time series observations.

GNN with summarization/grouping layer for speed and interpretability

An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment

A Julia package for estimating directed connectivity in whole-brain networks

Code for implementing the Aggregation-Network diffusion model (AND), as described in the paper: "Combined Model of Aggregation And Network Diffusion Recapitulates Alzheimer’s Regional Tau-PET " by Ashish Raj*, Veronica Tora, Xiao Gao, Hanna Cho, Jae Yong Choi, Young Hoon Ryu, Chul Hyoung Lyoo, Bruno Franchi. *Department of Radiology and Biomedical Imaging, University of California at San Francisco

Investigating the reproducibility of federated GNN models