Multiview graph kernel based on popular methods

Kai Liu; Yi Zhang; Kai Lu; Xiaoping Wang; Xin Wang

doi:10.1117/12.2557752

3 January 2020 Multiview graph kernel based on popular methods

Kai Liu, Yi Zhang, Kai Lu, Xiaoping Wang, Xin Wang

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 1137320 (2020) https://doi.org/10.1117/12.2557752
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

Graph classification is a challenging problem that assigns the structured data into several categories. The success of kernel methods in graph classification has aroused many designs of novel graph kernel. In this paper, we present a multiview graph kernel, a new method to combine the advantages of multiple kernel functions (Graphlet kernel and Weisfeiler-Lehman kernel). Experiments on several benchmark datasets show that multiview graph kernel could achieve significant improvements compared with the original graph kernels.

Citation Download Citation

Kai Liu, Yi Zhang, Kai Lu, Xiaoping Wang, and Xin Wang "Multiview graph kernel based on popular methods", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 1137320 (3 January 2020); https://doi.org/10.1117/12.2557752

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