This is the official PyTorch implementation of SpecRaGE from the paper "Generalizable and Robust Spectral Method for Multi-view Representation Learning".
For any question, feel free to approach me in this mail - [email protected]
To run the project, clone this repo and then create a conda environment via:
conda env create -f environment.yml
Subsequently, activate this environment:
conda activate specrage
To run a clustering experiment for the BDGP dataset, for example, cd to the src directory and run:
python3 cluster.py bdgp
The output should look like the following:
To run a classification experiment, cd to the src directory and run:
python3 classify.py bdgp
In this case, the output should look like the following: