HML is a fake news detection framework that infers latent social networks with a Hawkes process and combines self-supervised multimodal learning with a graph transformer, claiming SOTA results on FakeSV and FVC.
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Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference
HML is a fake news detection framework that infers latent social networks with a Hawkes process and combines self-supervised multimodal learning with a graph transformer, claiming SOTA results on FakeSV and FVC.