Graph attention networks and approximate personalized propagation of neural prediction models for unsupervised graph representation learning

Recent years have brought progress in the graph machine learning space, with the unsupervised graph representation learning field gaining traction due to the immense resources required to label graph data. A leading approach in the field, Deep Graph InfoMax, has been shown to provide good perform...

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Bibliographic Details
Main Author: Bharadwaja, Tanay
Other Authors: Ke Yiping, Kelly
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/156556
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Institution: Nanyang Technological University
Language: English
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