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Data and code for: Variational Graph Author Topic Modeling

dataset

posted on 2022-10-25, 04:48 authored by ZHANG, CE (SMU), Hady Wirawan LAUWHady Wirawan LAUW

This is the tensorflow implementation of KDD-2022 paper "Variational Graph Author Topic Modeling" by Delvin Ce Zhang and Hady W. Lauw.

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.

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Keywords

topic modeling text mining graph neural networks variational graph auto-encoder

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CC BY 4.0

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