Suchergebnisse - "Variational Graph Autoencoders"

VIGA: A variational graph autoencoder model to infer user interest representations for recommendation von Gan, Mingxin, Zhang, Hang

“… Learning representations of both user interests and item characteristics is essentially important for recommendation tasks. Although graph neural network-based …”
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An Edge Feature Inclusive Variational Graph Autoencoder for Pet-Driven Alzheimer's Diagnosis von Gurbuz, Saruhan Mete, Adel, Mouloud

“… We propose GINEVGAE(Modified Graph Isomorphism Network with Variational Graph Autoencoder, a novel variational graph autoencoder that leverages GINEConv …”
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A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction von Akyol, Gamze, Sariel, Sanem, Aksoy, Eren Erdal

“… Despite decades of research, understanding human manipulation activities is, and has always been, one of the most attractive and challenging research topics in …”
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A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction von Akyol, Gamze, Sariel, Sanem, Eren Erdal Aksoy

“… Despite decades of research, understanding human manipulation activities is, and has always been, one of the most attractive and challenging research topics in …”
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On the Power of Edge Independent Graph Models von Chanpuriya, Sudhanshu, Musco, Cameron, Sotiropoulos, Konstantinos, Tsourakakis, Charalampos E

“… Such models include both the classic Erd\"{o}s-R\'{e}nyi and stochastic block models, as well as modern generative models such as NetGAN, variational graph autoencoders, and CELL …”
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Predicting potential drug targets and repurposable drugs for COVID-19 via a deep generative model for graphs von Ray, Sumanta, Lall, Snehalika, Mukhopadhyay, Anirban, Bandyopadhyay, Sanghamitra, Schönhuth, Alexander

“… Coronavirus Disease 2019 (COVID-19) has been creating a worldwide pandemic situation. Repurposing drugs, already shown to be free of harmful side effects, for …”
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