graphxl 0.1.0a0

Workbench for Deep Learning on network datasets

Python env setup load python 3.8 module in SLURM - module load python/3.8.18 (verify the version using "module avail" command)

use "poetry config virtualenvs.in-project true" to install - "poetry install"

activate virtual environment created by poetry in the project directory source .venv/bin/activate

https://pytorch-geometric.readthedocs.io/en/latest/install/installation.html

poetry config repositories.torch-wheels https://data.pyg.org/whl/torch-2.2.0+cpu.html

poetry source add torch-wheels https://data.pyg.org/whl/torch-2.2.0+cpu.html

if using slurm jobs, create directory for logs using mkdir logs

jupyterlab setup details can be found at https://jejjohnson.github.io/research_journal/tutorials/remote_computing/vscode_jlab/

docs setup

mkdir docs cd docs sphinx-quickstart -- update conf.py

from project directory sphinx-apidoc -o docs/source/ graphxl/ sphinx-build -b html docs/source docs/build

from docs directory ./make.sh html

from docs/build directory python -m http.server to run the docs server locally