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

GAMC is an unsupervised fake news detection technique using the graph autoencoder with masking and contrastive learning.

Dependencies

• Python >= 3.7
• Pytorch >= 1.9.0
• dgl >= 0.7.2
• pyyaml == 5.4.1

Datasets

Due to file size upload limitations, datasets can be found at https://drive.google.com/drive/folders/1OslTX91kLEYIi2WBnwuFtXsVz5SS_XeR?usp=sharing.

Start

For the program start, you could run the script:

python main_graph.py --dataset DATASETNAME --use_cfg