dotmotif

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

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

Meta-learning using graph neural networks for brain connectivity regression.

A SQLite-like tool for querying graphs from the command-line using graph query languages in in-memory Python.