├── .gitignore ├── LICENSE ├── README.md ├── gnns-with-neo4j ├── README.md ├── db-sampling-for-gnn-training │ ├── db-credentials.env.template │ ├── db-load.ipynb │ ├── graph_data │ │ ├── __init__.py │ │ └── data_import.py │ └── pyg-gnn.ipynb └── gnn-graphsage-scale-by-sampling │ ├── demo-sampling-graphsage-ogbn-arxiv.ipynb │ └── load-ogbn-arxiv-data.ipynb ├── inductive-node-classifiaction-ml-integration ├── benchmark │ ├── __init__.py │ ├── benchmark.py │ └── ogbn_arxiv.py ├── db-credentials.env.template ├── example.ipynb ├── graph_data │ ├── __init__.py │ └── data_import.py └── py_models │ ├── __init__.py │ ├── data.py │ ├── model.py │ ├── pipeline.py │ └── quality_check.py ├── short-examples ├── db-credentials.env.template ├── img │ └── embedding-vis-karate-club.png └── visualize-how-graph-embeddings-work.ipynb └── transductive-node-classifiaction-ml-integration ├── benchmark ├── __init__.py ├── benchmark.py └── ogbn_arxiv.py ├── db-credentials.env.template ├── example.ipynb ├── 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