Recursive Integration of Synergised Graph Representations
$ git clone https://github.com/xfurna/RISynG.git
$ cd RISynG
Alternatively, download the package and change your working directory to RISynG/
$ pip3 install pipenv
$ pipenv install
$ pipenv shell
Add executable permission to the provided run.sh script.
$ chmod +x run.sh
There are five dataset in the Datasets folder- OV, STAD, CESC, LGG and BRCA. The algorithm can be executed for these dataset through the provided shell script run.sh as illustrated below.
$ ./run.sh dataset # replace 'dataset' with the name of the dataset
Execution can be done for multiple dataset just by cascading the names one after the other.
usage: risyng [-h] [--fuse [FUSE]] [--dataset [DATASET]] [--modality [MODALITY]] [--bval [BVAL]] [--order [ORDER]] [--cluster [CLUSTER]]
optional arguments:
-h, --help show this help message and exit
--fuse [FUSE], -f [FUSE]
Pass 'y' for fusion.
--dataset [DATASET], -d [DATASET]
Which dataset?
--modality [MODALITY], -m [MODALITY]
Which modality? (an integer)
--bval [BVAL], -b [BVAL]
At what b? (a number, or 'N' for default)
--order [ORDER], -o [ORDER]
In what oder?
--cluster [CLUSTER], -k [CLUSTER]
Number of clusters