Graph Machine Learning, Graph Kernels, Explicit Feature Maps, Scalable Machine Learning.
benchmark datasets for graph kernel evaluation. In the Jupyter notebook for this post I present code that reads an input graph and converts it to a representation that we can use to train node embeddings. Note that the graphs are disjoint, thus a standard approach like node2vec won’t work. Instead,