Welcome to News Fake Detection with GCN’s documentation!

See Link ‘e.g., Dou et all, 2021’ this paper for details of UPTD dataset:

Description

News Detection system with GCN Convolution layer, with some visualize data this project has reference on this github project: Link GNN-FakeNews you can check it for further details about this project

How To Use

1. Open file Link gnn.ipynb

2. run all block

How To Modify

1. Open file Link gnn.ipynb

2. In block 4, change appropriate value that want to tunning it

3. or maybe add new hidden layer and change optimism algorithm

References

1. Dou, Y., Shu, K., Xia, C., Yu, P. S., & Sun, L. (2021). User Preference-aware Fake News Detection. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. https://doi.org/10.1145/3404835.3462990
2. Kipf, T., & Welling, M. (2016). Semi-Supervised Classification with Graph Convolutional Networks. ArXiv: Learning. http://export.arxiv.org/pdf/1609.02907