Code to identify hubs through degree of nodes, given adjacency matrices of a population sample
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Updated
Dec 19, 2023 - Jupyter Notebook
Code to identify hubs through degree of nodes, given adjacency matrices of a population sample
Multi-Modal Dynamical Coherence Analysis Toolbox
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
Multigraph fusion and classification network using graph neural network
Federated Multimodal and Multiresolution Graph Integration
We provide both Matlab and Python versions of netNorm. In this folder you find the Maltab version of the code.
One-representative shot learning for graph classification.
Graph SuperResolution Network using geometric deep learning.
Detect and analyze Network Motifs of any network, with Python.
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
Benchmarks for functional connectivity estimators and FCEst Python package
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).
NAG-FS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification.
Diffusion-based Graph Super-resolution
Methods for estimating time-varying functional connectivity (TVFC)
A personal and professional website. Predominantly a tool to help me learn HTML, CSS, and Git.
Learning-guided Graph Dual Adversarial Domain Alignment (LG-DADA) framework for predicting a target graph from a source graph.
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