PyGeometric GCN on Neo4j Knowledge Graph Database for Biological Link Prediction

The goal of this project is to utilize Pygeometric's Heterogenous GNN for deep learning on a heterogenous biological graph database.

Parameters:

usage: main.py [-h] [--test_embedding] [--test_model] [--uri URI] [--password PASSWORD] [--embed EMBED]

pygeom GCN on neo4j kg database

optional arguments:
  -h, --help           show this help message and exit
  --test_embedding     train the test data!
  --test_model         train the test data!
  --uri URI            neo4j dbms uri
  --password PASSWORD  neo4j dbms password
  --embed EMBED        fastrp or node2vec

TODO:

create the hetero model, and run with node features