Graph convolutional and attention models for entity classification in multilayer networks
Sign Up to like & getrecommendations! Published in 2021 at "Applied Network Science"
DOI: 10.1007/s41109-021-00420-4
Abstract: Graph Neural Networks (GNNs) are powerful tools that are nowadays reaching state of the art performances in a plethora of different tasks such as node classification, link prediction and graph classification. A challenging aspect in… read more here.
Keywords: classification; multilayer networks; entity classification; classification multilayer ... See more keywords