Toward Efficient Deep Learning for Graph Drawing (DL4GD)
Due to their great performance in many challenges, Deep Learning (DL) techniques keep gaining popularity in many fields. They have been adapted to process graph data structures to solve various complicated tasks such as graph classification and edge prediction. Eventually, they reached the Graph Dra...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 2 vom: 02. Jan., Seite 1516-1532
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| 1. Verfasser: |
Giovannangeli, Loann
(VerfasserIn) |
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| Weitere Verfasser: |
Lalanne, Frederic,
Auber, David,
Giot, Romain,
Bourqui, Romain |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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