Simplifying approach to node classification in Graph Neural Networks
Graph Neural Networks (GNNs) have become one of the indispensable tools to learn from graph-structured data, and their usefulness has been shown in wide variety of tasks. In recent years, there have been tremendous improvements in architecture design, resulting in better performance on various predi...
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Published in | Journal of computational science Vol. 62; p. 101695 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.07.2022
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Subjects | |
Online Access | Get full text |
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