Fake detection in imbalance dataset by Semi-supervised learning with GAN. (arXiv:2212.01071v1 [cs.LG])

As social media grows faster, harassment becomes more prevalent which leads
to considered fake detection a fascinating field among researchers. The graph
nature of data with the large number of nodes caused different obstacles
including a considerable amount of unrelated features in matrices as high
dispersion and imbalance classes in the dataset. To deal with these issues
Auto-encoders and a combination of semi-supervised learning and the GAN
algorithm which is called SGAN were used. This paper is deploying a smaller …

detection fake gan