Graph Machine Learning, Graph Kernels, Explicit Feature Maps, Scalable Machine Learning.
the kernel function for two graphs. Observe that for the normalized version of the graph kernel and the linear kernel for node vectors, i.e., κ(u, v) = u^T v, the above corresponds to taking the mean vector of all node embeddings in the graph. Implementation There is a large collection of graph