ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2301.04341
  4. Cited By
A Meta Path-based Approach for Rumor Detection on Social Media

A Meta Path-based Approach for Rumor Detection on Social Media

11 January 2023
Bita Azarijoo
Mostafa Salehi
S. Najari
ArXivPDFHTML

Papers citing "A Meta Path-based Approach for Rumor Detection on Social Media"

3 / 3 papers shown
Title
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for
  COVID-19 Fake News Detection
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection
William Scott Paka
Rachit Bansal
Abhay Kaushik
Shubhashis Sengupta
Tanmoy Chakraborty
FedML
GNN
21
114
0
17 Feb 2021
Early Detection of Fake News by Utilizing the Credibility of News,
  Publishers, and Users Based on Weakly Supervised Learning
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
Chunyuan Yuan
Qianwen Ma
Wei Zhou
Jizhong Han
Songlin Hu
GNN
177
68
0
08 Dec 2020
Jointly embedding the local and global relations of heterogeneous graph
  for rumor detection
Jointly embedding the local and global relations of heterogeneous graph for rumor detection
Chunyuan Yuan
Qianwen Ma
Wei Zhou
Jizhong Han
Songlin Hu
166
138
0
10 Sep 2019
1