Graph Machine Learning, Graph Kernels, Explicit Feature Maps, Scalable Machine Learning.
us for a moment assume that we have collected a vector at each node. For example, this can be a node embedding vector like discussed in the previous post. Somewhat simplified, a convolutional graph kernel for two graphs G and H is defined as In the above, κ is a (non-linear) kernel function between