A dynamic graph representation learning based on temporal graph transformer
The graph neural network has received significant attention in recent years because of its unique role in mining graph-structure data and its ubiquitous application in various fields, such as social networking and recommendation systems. Although most work focuses on learning low-dimensional node re...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2023-01-01
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| Серія: | Alexandria Engineering Journal |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S1110016822005336 |
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