approved
AGC: Autism Graph Classifier

AGC is designed to support the processing and analysis of brain connectivity data by leveraging standard outputs from widely used neuroimaging pipelines such as CPAC and FreeSurfer. Its primary objective is to transform multimodal neuroimaging data into graph-structured representations and apply Graph Neural Networks (GNNs) for classification and interpretability analysis.

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Data and Resources
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Additional Info
Field Value
Accessibility OnLine
AccessibilityMode OnLine Access
Associate Project FAIR
Basic rights Download
CreationDate 2025-11-15
Creator Motisi, Giuseppe Antonio, motisigiuseppeantonio@gmail.com, orcid.org/0009-0009-6727-3517
External Identifier https://github.com/giuseppeantoniomotisi/autism-graph-classifier
FAIR Spoke Spoke8
Field/Scope of use Research only
Group Health Studies
Owner Motisi, Giuseppe Antonio, motisigiuseppeantonio@gmail.com, orcid.org/0009-0009-6727-3517
Programming Language Python
SoBigData Node SoBigData IT
Sublicense rights No
Territory of use World Wide
Thematic Cluster Other
system:type Method
Management Info
Field Value
Author Retico Alessandra
Maintainer Motisi Giuseppe
Version 1
Last Updated 3 February 2026, 16:28 (CET)
Created 3 February 2026, 16:28 (CET)