Releases: m-krastev/fact8-temporal-graph
Releases · m-krastev/fact8-temporal-graph
FACT Submission
This is the final code submission for the course "Fairness, Accountability and Transparency in AI", conducted by the University of Amsterdam for the academic year 2023/2024.
The submission contains the key reproduction code for the paper "Explaining Temporal Graphs through a Navigator-Explorer Framework", as well as our reproduction report and additional contributions.
Attached within this release are also the pre-trained weights of the models we use throughout the report, the explainer model checkpoints, the processed datasets, and finally, the results we obtained. You may follow the guidance and unzipping scripts provided within the repository to use them on demand.