GraphSAGELite

TensorFlow 2.x implementation

A general inductive framework that leverages node feature information (e.g., text attributes) to efficiently generate node embeddings for previously unseen data. Instead of training individual embeddings for each node, GraphSAGE learn a function that generates embeddings by sampling and aggregating features from a node’s local neighborhood

Project setup and testing

git clone git@github.com:gaudelbijay/GraphSAGELite.git
cd GraphSAGELite/gnn
python test.py