Multi-Modal Dynamical Coherence Analysis Toolbox

Code to identify hubs through degree of nodes, given adjacency matrices of a population sample

Publicly available code for "Distributed network processes account for the majority of variance in localized visual category selectivity", Cocuzza et al., 2022.

Directed and UnDirected Temporal Network software

LaTeX code for my PhD thesis.

Publicly available code for "A flexible hub connectivity mechanism for cognitive control". Manuscript in-preparation. Part of C. Cocuzza's dissertation (Aim 3).

A personal and professional website. Predominantly a tool to help me learn HTML, CSS, and Git.

Compute connectivity gradients using functional MRI data

Benchmarks for functional connectivity estimators and FCEst Python package

Learning-guided Graph Dual Adversarial Domain Alignment (LG-DADA) framework for predicting a target graph from a source graph.

Diffusion-based Graph Super-resolution

NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.

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.

Heterogeneous federated learning for graph super-resolution

NAG-FS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification.

Federated Multimodal and Multiresolution Graph Integration

Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.

Recurrent multigraph neural network