Heterogeneous Subgraph Transformer for Fake News Detection-Reference-Cited by-同舟云学术

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Heterogeneous Subgraph Transformer for Fake News Detection

Published:2024-05-13 Issue: Volume:34 Page:1272-1282
ISSN:
Container-title:Proceedings of the ACM Web Conference 2024
language:
Short-container-title:

Author:

Zhang Yuchen¹^ORCID,Ma Xiaoxiao²^ORCID,Wu Jia²^ORCID,Yang Jian²^ORCID,Fan Hao³^ORCID

Affiliation:

1. School of Computing, Macquarie University & School of Information Management, Wu University, Sydney, Australia

2. School of Computing, Macquarie University, Sydney, NSW, Australia

3. School of Information Management, Wuhan University, Wuhan, China

Funder

Australian Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3645680

Reference45 articles.

1. LUX (Linguistic aspects Under eXamination): Discourse Analysis for Automatic Fake News Classification

2. Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

3. A survey on fake news and rumour detection techniques

4. What happened? The Spread of Fake News Publisher Content During the 2016 U.S. Presidential Election

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Graph Anomaly Detection with Few Labels: A Data-Centric Approach;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

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