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GAMC: An Unsupervised Method for Fake News Detection using Graph
  Autoencoder with Masking

GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking

AAAI Conference on Artificial Intelligence (AAAI), 2023
10 December 2023
Shu Yin
Chao Gao
Zhen Wang
    SSLGNN
ArXiv (abs)PDFHTMLGithub

Papers citing "GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking"

9 / 9 papers shown
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
Zhengjia Wang
Qiang Sheng
Danding Wang
Beizhe Hu
Juan Cao
GNN
168
3
0
01 Sep 2025
LLM-based Contrastive Self-Supervised AMR Learning with Masked Graph Autoencoders for Fake News Detection
LLM-based Contrastive Self-Supervised AMR Learning with Masked Graph Autoencoders for Fake News Detection
Shubham Gupta
S. Chatterjee
Suman Kundu
SSL
231
0
0
26 Aug 2025
Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery
Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster DiscoveryKnowledge Discovery and Data Mining (KDD), 2025
Buyun He
X. Jiang
Qi Wu
Hao Liu
Yingguang Yang
Yong Liao
252
5
0
01 Jun 2025
MPPFND: A Dataset and Analysis of Detecting Fake News with Multi-Platform Propagation
MPPFND: A Dataset and Analysis of Detecting Fake News with Multi-Platform Propagation
Congyuan Zhao
Lingwei Wei
Ziming Qin
Wei Zhou
Yunya Song
Songlin Hu
193
4
0
16 May 2025
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection
Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News DetectionAAAI Conference on Artificial Intelligence (AAAI), 2025
Ziyi Zhou
Xiaoming Zhang
Shenghan Tan
Litian Zhang
Chaozhuo Li
369
8
0
27 Mar 2025
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News DetectionAAAI Conference on Artificial Intelligence (AAAI), 2025
Chaowei Zhang
Zongling Feng
Zewei Zhang
Jipeng Qiang
Guandong Xu
Yun Li
LRM
357
11
0
12 Mar 2025
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly DetectorInternational Conference on Learning Representations (ICLR), 2024
Jinghan Li
Yuan Gao
Jinda Lu
Cunchun Li
Congcong Wen
Hui Lin
Xiang Wang
538
13
0
09 Oct 2024
A General Black-box Adversarial Attack on Graph-based Fake News
  Detectors
A General Black-box Adversarial Attack on Graph-based Fake News Detectors
Peican Zhu
Zechen Pan
Yang Liu
Jiwei Tian
Keke Tang
Zhen Wang
AAML
256
29
0
24 Apr 2024
LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph
  Attention Network for Fake News Detection
LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph Attention Network for Fake News Detection
Batool Lakzaei
M. H. Chehreghani
Alireza Bagheri
232
10
0
13 Feb 2024
1
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