Parallel and Distributed Graph Neural Networks : An In-Depth Concurrency Analysis
Graph neural networks (GNNs) are among the most powerful tools in deep learning. They routinely solve complex problems on unstructured networks, such as node classification, graph classification, or link prediction, with high accuracy. However, both inference and training of GNNs are complex, and th...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 5 vom: 01. Mai, Seite 2584-2606 |
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| Format: | Article en ligne |
| Langue: | English |
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2024
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article |
| Accès en ligne |
Volltext |