Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions
Machine Learning
2015-09-23 v1 Artificial Intelligence
Abstract
In this paper we present a novel graph kernel framework inspired the by the Weisfeiler-Lehman (WL) isomorphism tests. Any WL test comprises a relabelling phase of the nodes based on test-specific information extracted from the graph, for example the set of neighbours of a node. We defined a novel relabelling and derived two kernels of the framework from it. The novel kernels are very fast to compute and achieve state-of-the-art results on five real-world datasets.
Cite
@article{arxiv.1509.06589,
title = {Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions},
author = {Giovanni Da San Martino and Nicolò Navarin and Alessandro Sperduti},
journal= {arXiv preprint arXiv:1509.06589},
year = {2015}
}