Data and code for: Variational Graph Author Topic Modeling
收藏DataCite Commons2022-10-25 更新2024-07-13 收录
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https://researchdata.smu.edu.sg/articles/dataset/Data_and_code_for_Variational_Graph_Author_Topic_Modeling/21378237
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资源简介：
This is the tensorflow implementation of KDD-2022 paper "Variational Graph Author Topic Modeling" by Delvin Ce Zhang and Hady W. Lauw. <br> 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. <br>
提供机构：
SMU Research Data Repository (RDR)
创建时间：
2022-10-21
