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Exploiting node metadata to predict interactions in bipartite networks using graph embedding and neural networks
Author(s) -
Rogini Runghen,
Daniel B. Stouffer,
G. V. Dalla Riva
Publication year - 2022
Publication title -
royal society open science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 51
ISSN - 2054-5703
DOI - 10.1098/rsos.220079
Subject(s) - computer science , metadata , node (physics) , bipartite graph , machine learning , network science , embedding , artificial neural network , theoretical computer science , graph , artificial intelligence , task (project management) , data mining , complex network , world wide web , structural engineering , engineering , management , economics

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