Graph Contrastive Topic Model-Reference-Cited by-同舟云学术

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Graph Contrastive Topic Model

Published:2024-12 Issue: Volume:255 Page:124631
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Luo Zheheng^ORCID,Liu Lei,Ananiadou Sophia,Xie Qianqian^ORCID

Funder

New Energy and Industrial Technology Development Organization

Publisher

Elsevier BV

Reference50 articles.

1. InfoNCE is a variational autoencoder, CoRR abs/2107.02495;Aitchison,2021

2. Self-supervised neural topic modeling;Bahrainian,2021

3. Pre-training is a hot topic: Contextualized document embeddings improve topic coherence;Bianchi,2021

4. Neural models for documents with metadata;Card,2018

5. Reading tea leaves: How humans interpret topic models;Chang,2009

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