MULTIFACETED EMBEDDING LEARNING FOR NETWORKED DATA AND SYSTEMS
Network embedding or representation learning is important for analyzing many real-world applications and systems, i.e., social networks, citation networks and communication networks. It targets at learning low-dimensional vector representations of nodes with preserved graph structure (e.g., link rel...
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| Format: | Others |
| Language: | English |
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Florida Atlantic University
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| Online Access: | http://purl.flvc.org/fau/fd/FA00013516 |