🆕 Tutorials: dgl.sparse

The tutorial set cover the basic usage of DGL’s sparse matrix class and operators. You can begin with “Quickstart” and “Building a Graph Convolutional Network Using Sparse Matrices”. The rest of the tutorials demonstrate the usage by end-to-end examples. All the tutorials are written in Jupyter Notebook and can be played on Google Colab.

• Quickstart
• Building a Graph Convolutional Network Using Sparse Matrices
• Graph Diffusion in Graph Neural Networks
• Hypergraph Neural Networks
• Graph Transformer in a Nutshell