Data Integration Using Through Attentive Multi-View Graph Auto-Encoders
نویسندگان
چکیده
منابع مشابه
Variational Graph Auto-Encoders
Figure 1: Latent space of unsupervised VGAE model trained on Cora citation network dataset [1]. Grey lines denote citation links. Colors denote document class (not provided during training). Best viewed on screen. We introduce the variational graph autoencoder (VGAE), a framework for unsupervised learning on graph-structured data based on the variational auto-encoder (VAE) [2, 3]. This model ma...
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ژورنال
عنوان ژورنال: International Journal of Scientific Research in Computer Science, Engineering and Information Technology
سال: 2019
ISSN: 2456-3307
DOI: 10.32628/cseit195394