Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism

Network representation learning or embedding aims to project the network into a low-dimensional space that can be devoted to different network tasks. Temporal networks are an important type of network whose topological structure changes over time. Compared with methods on static networks, temporal n...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 33; H. 12; S. 7400 - 7413
Hauptverfasser:	Jiao, Pengfei, Guo, Xuan, Jing, Xin, He, Dongxiao, Wu, Huaming, Pan, Shirui, Gong, Maoguo, Wang, Wenjun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Embedding Heredity Inheritances Learning Link prediction Logic gates Matrix decomposition Network analysis Network topologies Network topology Neural networks Neural Networks, Computer Parameters Predictive models Recurrent neural networks Regularization Representations self-attention mechanism Social networking (online) Task analysis temporal network embedding (TNE) Topology variational autoencoder (VAE)
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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