Pytorch code for paper: "MRML: Multimodal Rumor Detection by Deep Metric Learning"

This directory contains code necessary to run the MRML. MRML is a multimodal rumor detection network by deep metric learning. See our paper for details on the code.

The meta-data of the Weibo and Twitter datasets used in our experiments are available in their papers. In this project, we provide the py files for data preparing in the pre_data subdirectory.

The python version is python-3.6.4. The detailed version of some packages is available in requirements.txt. You can install all the required packages using the following command:

$ pip install -r requirements.txt

The train.py is the main file for running the code.

$ python train.py