Graph Neural Network for Social Computing
Graph Neural Network for Social Computing, Factaulity, Fake News, Misinformation and Disinformation
Papers
Fake News
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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 -
Towards Fine-Grained Reasoning for Fake News Detection, AAAI 2022 Source: https://ojs.aaai.org/index.php/AAAI/article/view/20517/20276
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Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks , ACL 2021
Source: https://aclanthology.org/2021.internlp-1.7/ -
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 -
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 -
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks 2022
Source: https://arxiv.org/pdf/2210.05498.pdf -
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 -
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 -
A Discriminative Graph Neural Network for Fake News Detection, 2022
Source: https://ieeexplore.ieee.org/abstract/document/9696018 -
Propagation-based fake news detection using graph neural networks with transformer, 2021
Source: https://ieeexplore.ieee.org/abstract/document/9621803/ -
Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network, 2021
Source: https://arxiv.org/pdf/2109.08022 -
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/
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Detection of fake news campaigns using graph convolutional networks , 2022
Source: https://www.sciencedirect.com/science/article/pii/S2667096822000477 -
DEAP-FAKED: knowledge graph based approach for fake news detection 2021
Source: https://arxiv.org/pdf/2107.10648 -
Knowledge Enhanced Multi-modal Fake News Detection , 2021
Source: https://arxiv.org/pdf/2108.04418 -
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