approved
Graph-Informed Neural Networks

In this repository, we publish the codes necessary to implement the Graph-Informed Neural Networks (GINNs), presented for the first time in the paper: Graph-Informed Neural Networks for Regressions on Graph-Structured Data, Mathematics 2022, 10(5), 786; https://doi.org/10.3390/math10050786

Tags
Data and Resources
To access the resources you must log in
Additional Info
Field Value
Accessibility Both
AccessibilityMode OnLine Access
Associate Project FAIR
Availability On-Line
Basic rights Other rights
CreationDate 2024-07-10
Creator Della Santa, Francesco, [email protected], orcid.org/0000-0002-2202-9600
External Identifier https://github.com/Fra0013To/GINN
Field/Scope of use Any use
Group Others
License term 2024-07-10 23:45/2124-07-10 23:45
Owner Della Santa, Francesco, [email protected], orcid.org/0000-0002-2202-9600
ProgrammingLanguage Python
RelatedPaper Berrone, S.; Della Santa, F.; Mastropietro, A.; Pieraccini, S.; Vaccarino, F. Graph-Informed Neural Networks for Regressions on Graph-Structured Data. Mathematics 2022, 10, 786. https://doi.org/10.3390/math10050786
SoBigData Node SoBigData IT
Sublicense rights No
Territory of use World Wide
Thematic Cluster Other
system:type Method
Management Info
Field Value
Author DELLA SANTA FRANCESCO
Maintainer DELLA SANTA FRANCESCO
Version 1
Last Updated 23 November 2024, 16:05 (CET)
Created 23 November 2024, 16:05 (CET)