Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks-Reference-Cited by-同舟云学术

Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
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Author:

Jeong Ujun¹,Ding Kaize¹,Cheng Lu²,Guo Ruocheng³,Shu Kai⁴,Liu Huan¹

Affiliation:

1. Arizona State University,School of Computing and Augmented Intelligence

2. University of Illinois Chicago,Department of Computer Science

3. Bytedance AI Lab,London

4. Illinois Institute of Technology,Department of Computer Science

Funder

Office of Naval Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020234.pdf?arnumber=10020234

Reference53 articles.

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

3. FEVER: a Large-scale Dataset for Fact Extraction and VERification

4. A retrospective analysis of the fake news challenge stance-detection task;hanselowski;International Conference on Computational Linguistics (COLING),2018

5. Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM

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