robi56 / Graph-Neural-Network-for-Social-Computing

Graph Neural Network for Social Computing, Factaulity, Fake News, Misinformation and Disinformation

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Graph Neural Network for Social Computing

Graph Neural Network for Social Computing, Factaulity, Fake News, Misinformation and Disinformation

Papers

Fake News

  1. Topology Imbalance and Relation Inauthenticity Aware Hierarchical Graph Attention Networks for Fake News Detection , ACL, 2022
    Source: https://aclanthology.org/2022.coling-1.415.pdf

  2. Towards Fine-Grained Reasoning for Fake News Detection, AAAI 2022 Source: https://ojs.aaai.org/index.php/AAAI/article/view/20517/20276

  3. Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks , ACL 2021
    Source: https://aclanthology.org/2021.internlp-1.7/

  4. Knowledge-aware multi-modal adaptive graph convolutional networks for fake news detection , ACM Trans. 2021
    Source: https://dl.acm.org/doi/abs/10.1145/3451215

  5. Compare to the knowledge: Graph neural fake news detection with external knowledge , ACL 2021
    Source: https://aclanthology.org/2021.acl-long.62/?ref=https://githubhelp.com

  6. Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks 2022
    Source: https://arxiv.org/pdf/2210.05498.pdf

  7. Improving fake news detection with domain-adversarial and graph-attention neural network . Decision Support Systems 2021
    Source: http://wanghao.in/CDL.htm, Code: https://github.com/js05212/CDL

  8. Evidence-aware Fake News Detection with Graph Neural Networks ,ACM Web Conference 2022
    Source: https://www.atailab.cn/seminar2022Spring/pdf/WWW_2022_Evidence-aware%20Fake%20News%20Detection%20with%20Graph%20Neural%20Networks.pdf

  9. A Discriminative Graph Neural Network for Fake News Detection, 2022
    Source: https://ieeexplore.ieee.org/abstract/document/9696018

  10. Propagation-based fake news detection using graph neural networks with transformer, 2021
    Source: https://ieeexplore.ieee.org/abstract/document/9621803/

  11. Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network, 2021
    Source: https://arxiv.org/pdf/2109.08022

  12. A Discriminative Graph Neural Network for Fake News Detection, 2021
    Source: https://arxiv.org/pdf/2109.08022

13.Fake News Detection in the Framework of Decision-Making System through Graph Neural Network , 2021
Source: https://ieeexplore.ieee.org/abstract/document/9628907/

  1. Detection of fake news campaigns using graph convolutional networks , 2022
    Source: https://www.sciencedirect.com/science/article/pii/S2667096822000477

  2. DEAP-FAKED: knowledge graph based approach for fake news detection 2021
    Source: https://arxiv.org/pdf/2107.10648

  3. Knowledge Enhanced Multi-modal Fake News Detection , 2021
    Source: https://arxiv.org/pdf/2108.04418

  4. MVAN: Multi-View Attention Networks for Fake News Detection on Social Media , 2021
    Source: https://ieeexplore.ieee.org/abstract/document/9497048/

Misinformation and Other

Cross-document misinformation detection based on event graph reasoning

Robust Graph Learning for Misbehavior Detection

Temporal Graph Analysis of Misinformation Spreaders in Social Media

Mumin: A large-scale multilingual multimodal fact-checked misinformation social network dataset

Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information

A Novel Deep Neural Network-Based Approach to Measure Scholarly Research Dissemination Using Citations Network

Modeling the Uncertainty of Information Propagation for Rumor Detection: A Neuro-Fuzzy Approach

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Graph Neural Network for Social Computing, Factaulity, Fake News, Misinformation and Disinformation

License:MIT License