This is the source code for the paper "GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection."
creating-graph-data
contains the code for creating node embeddings for textual and visual graphs.
unimodal-textual
, unimodal-visual
, and multimodal-concatenation
folders contain code for ablation study.
game-on
contains code for the proposed framework.
ModelSizeBaselines.ipynb
is the code for roughly estimating the trainable paramters in the baselines.
MediaEval 2015 (Twitter Dataset): Link to image-verificatiion corpus github
Weibo Dataset: Link to EANN paper for the dataset
To run any of the available models, please move to the appropriate directory
run $ python main.py