Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang +5

Graph kernels are widely used for measuring the similarity between graphs. Many existing graph kernels, which focus on local patterns within graphs rather than their global propert…