Contrastive Learning at the Relation and Event Level for Rumor Detection-Reference-Cited by-同舟云学术

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Contrastive Learning at the Relation and Event Level for Rumor Detection

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Xu Yingrui¹,Hu Jingyuan¹,Ge Jingguo¹,Wu Yulei²,Li Tong¹,Li Hui¹

Affiliation:

1. Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China

2. University of Exeter,Faculty of Environment, Science and Economy,Department of Computer Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096567.pdf?arnumber=10096567

Reference18 articles.

1. Graph contrastive learning with augmentations;you;Advances in neural information processing systems,2020

2. An ABGE-aided manufacturing knowledge graph construction approach for heterogeneous IIoT data integration

3. Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning

4. Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning

5. Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks

Cited by 2 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. Comparative learning based stance agreement detection framework for multi-target stance detection;Engineering Applications of Artificial Intelligence;2024-07

2. Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection;Proceedings of the ACM Web Conference 2024;2024-05-13

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