Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations

This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and their blending induces intractable complexity in the temporal evolution over graphs. Drawing inspiration from th...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 03. Okt.
1. Verfasser:	Qin, Tiexin (VerfasserIn)
Weitere Verfasser:	Walker, Benjamin, Lyons, Terry, Yan, Hong, Li, Haoliang
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2025
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article