Topological and geometrical joint learning for 3D graph data

Traditional convolutional neural networks (CNNs) are limited to be directly applied to 3D graph data due to their inherent grid structure. And most of graph-based learning methods use local-to-global hierarchical structure learning, and often ignore the global context. To overcome these issues, we p...

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Veröffentlicht in:	Multimedia tools and applications 2023-04, Vol.82 (10), p.15457-15474
Hauptverfasser:	Han, Li, Lan, Pengyan, Shi, Xue, Wang, Xiaomin, He, Jinhai, Li, Genyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Communication Networks Computer Science Data Structures and Information Theory Deep learning Domains Geometry Learning Multimedia Multimedia Information Systems Neural networks Special Purpose and Application-Based Systems Teaching methods Topology
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