Open access
Jul 2026
A Heterogeneous Graph Attention Network with Pre-trained Language Models for Multi-Modal Fake News Detection
Heterogeneous Graph Attention Network (HGAT) is proposed, where a pretrained BERT-Large encoder is coupled with a Heterogeneous Graph Attention Network (HGAT) to learn joint representations for textual, social network and external knowledge graph features.
Akash Garg, Sachin Pachauri
· Journal of Artificial Intell... · 0 citations