Data and code for: Variational Graph Author Topic Modeling
<p>This is the tensorflow implementation of KDD-2022 paper "<a href="https://ink.library.smu.edu.sg/sis_research/7271/" target="_blank">Variational Graph Author Topic Modeling</a>" by <a href="http://delvincezhang.com/" target="_blank">Delvin Ce Zhang</a> and <a href="http://www.hadylauw.com/home" target="_blank">Hady W. Lauw</a>.</p>
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<p>VGATM is a Graph Neural Network model that extracts interpretable topics for documents with authors and venues. Topics of documents then fulfill document classification, citation prediction, etc.</p>
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