Graph Deep Learning\n\n\n\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\n\n- Paper\n- Code