Training a Graph Convolution Network on text data from patient diseases and symptomology Dataset from: https://arxiv.org/abs/2205.09148 ** Note: dataset written in French Next Steps: 1. Train on larger dataset for higher test accuracy 2. Implement GraphSAGE and GAT for comparison again GCN performance 3. Extend dataset to genetic variants that may enable certain diseases and can therefore be identified by the disease's symptomology