SMU Research Data Repository (RDR)
Browse (31.74 MB)
Download file

Data and code for: Variational Graph Author Topic Modeling

Download (31.74 MB)
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.


Confidential or personally identifiable information

  • I confirm that the uploaded data has no confidential or personally identifiable information.