Source code for SIGIR 2023 paper Towards Trustworthy Rumor Detection with Interpretable Graph Structural Learning
python 3.7
pytorch 1.8.1
pytorch_geometric 1.7.0
python ./Model/Process/getTwittergraph.py Twitter15 # Construct the graph for Twitter15
python ./Model/Process/getTwittergraph.py Twitter16 # Construct the graph for Twitter16
python ./Model/train.py Twitter15 100 # Run TrustRD for 100 iterations on Twitter15 dataset
python ./Model/train.py Twitter16 100 # Run TrustRD for 100 iterations on Twitter16 dataset
We use Twitter15 and Twitter16 dataset for the experiment.
To learn more about the dataset, please refer to RvNN for more details.
If you find this code useful, please cite our paper.