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Published in 2018 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-018-0266-x
Abstract: In this paper we propose a geometric approach to solve the Graph Isomorphism (GI in short) problem. Given two graphs $$G_1, G_2$$G1,G2, the GI problem is to decide if the given graphs are isomorphic i.e.,…
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Keywords:
graph isomorphism;
polytope;
graphs isomorphic;
problem ... See more keywords
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Published in 2019 at "Journal of Cheminformatics"
DOI: 10.1186/s13321-019-0362-7
Abstract: Comparison of ligand poses generated by protein–ligand docking programs has often been carried out with the assumption of direct atomic correspondence between ligand structures. However, this correspondence is not necessarily chemically relevant for symmetric molecules…
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Keywords:
graph isomorphism;
dockrmsd;
rmsd calculation;
symmetric molecules ... See more keywords
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Published in 2020 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2020.00630
Abstract: Graph neural networks (GNN) rely on graph operations that include neural network training for various graph related tasks. Recently, several attempts have been made to apply the GNNs to functional magnetic resonance image (fMRI) data.…
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Keywords:
graph isomorphism;
fmri;
network;
isomorphism network ... See more keywords
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Published in 2022 at "Brain Sciences"
DOI: 10.3390/brainsci12070883
Abstract: Accumulated studies have determined the changes in functional connectivity in autism spectrum disorder (ASD) and spurred the application of machine learning for classifying ASD. Graph Neural Network provides a new method for network analysis in…
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Keywords:
functional connectome;
network;
autism;
isomorphism network ... See more keywords