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arXiv · 1907.07129

Topology Based Scalable Graph Kernels

Kin Sum Liu·Chien-Chun Ni·Yu-Yao Lin·Jie Gao
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Abstract

We propose a new graph kernel for graph classification and comparison using Ollivier Ricci curvature. The Ricci curvature of an edge in a graph describes the connectivity in the local neighborhood. An edge in a densely connected neighborhood has positive curvature and an edge serving as a local bridge has negative curvature. We use the edge curvature distribution to form a graph kernel which is then used to compare and cluster graphs. The curvature kernel uses purely the graph topology and thereby works for settings when node attributes are not available.

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Kin Sum Liu, Chien-Chun Ni, Yu-Yao Lin, Jie Gao. 2019-07-15. Topology Based Scalable Graph Kernels. https://arxiv.org/abs/1907.07129

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