Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations

28 February 2024

Papers citing "Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations"

10 / 10 papers shown

Title
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering Yaming Yang Ziyu Guan Zhe Wang Wei Zhao Cai Xu Weigang Lu Jianbin Huang SSL 56 43 0 19 Oct 2022
Fake News Detection with Heterogeneous Transformer Tianle Li Yushi Sun Shang-ling Hsu Yanjia Li Raymond Chi-Wing Wong 52 3 0 06 May 2022
Applying Automatic Text Summarization for Fake News Detection Philipp Hartl Udo Kruschwitz 65 12 0 04 Apr 2022
A Survey on Automated Fact-Checking Zhijiang Guo Michael Schlichtkrull Andreas Vlachos 92 495 0 26 Aug 2021
Graph-based Modeling of Online Communities for Fake News Detection Shantanu Chandra Pushkar Mishra H. Yannakoudakis Madhav Nimishakavi Marzieh Saeidi Ekaterina Shutova GNN 89 45 0 14 Aug 2020
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media Yi-Ju Lu Cheng-Te Li GNN 114 393 0 24 Apr 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 286 1,208 0 03 Mar 2020
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 118 1,415 0 29 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 239 4,364 0 06 Mar 2019
Predicting Factuality of Reporting and Bias of News Media Sources R. Baly Georgi Karadzhov D. Alexandrov James R. Glass Preslav Nakov 71 237 0 02 Oct 2018