SOWdgl: Robust Stochastic Open-world Learning for Dynamic Graphs

This repository contains the author's implementation Pytorch in paper "Robust Stochastic Open-world Learning for Dynamic Graphs".

Dependencies

• Python (>=3.6)
• torch: (>= 1.7.0)
• numpy (>=1.17.4)
• sklearn

Implementation

Here we provide the implementation of SOWdgl, along with the default dataset (DBLP5). The repository is organised as follows:

• data/ contains the necessary dataset files and config files;
• method/ contains the implementation of the SOWdgl and the basic utils;

Finally, main.py puts all of the above together and can be used to execute a full training run on the datasets.

Process

• Place the datasets in data/
• Training/Testing:

python main.py