\n\nThis repository includes implementations of several deep learning algorithms applied on graph data structures. The Deep Node Embeddings section covers SDNE and LINE, created using TensorFlow and focusing on 2 order neighbours for creating node representations. The Spectral Graph Neural section provides a comprehensive list of implementations of Graph Neural Network architectures ideal for classifying node embedding representations from any NetworkX graph. All of these implementations use TensorFlow/Keras. \n\n## Deep Node Embeddings\n\n### SDNE (Structural Deep Network Embeddings)\n\n
\n\nResources\n\n- Paper\n- Github\n\n### LINE (Large Scale Information Network Embedding)\n\n
\n\nResources\n\n- Paper\n- Github\n\n\n## Spectral Graph Neural\n\n\n
\n\n\n### Vanilla GNN\n\n
\n\nResources\n\n- Paper\n- Github\n\n### Spline GCN\n\n
\n\nResources\n\n- Paper\n- Code\n\n\n### Laplacian GCN\n\n
\n\n- Paper\n\n### ChebNets GCN\n\n