@inproceedings{ed3bb69480b44474881b3369e5803dbe,
title = "An aligned subtree kernel for weighted graphs",
abstract = "In this paper, we develop a new entropic matching kernel for weighted graphs by aligning depth-based representations. We demonstrate that this kernel can be seen as an aligned subtree kernel that incorporates explicit subtree correspondences, and thus addresses the drawback of neglecting the relative locations between substructures that arises in the R-convolution kernels. Experiments on standard datasets demonstrate that our kernel can easily outperform state-of-the-art graph kernels in terms of classification accuracy.",
author = "Lu Bai and Luca Rossi and Zhihong Zhang and Hancock, {Edwin R.}",
note = "Funding Information: L. Bai and Z. Zhang are supported by National Natural Science Foundation of China (61402389 and 61272398). E.R. Hancock is supported by a Royal Society Wolfson Research Merit Award.; 32nd International Conference on Machine Learning, ICML 2015 ; Conference date: 06-07-2015 Through 11-07-2015",
year = "2015",
month = jul,
language = "English",
series = "32nd International Conference on Machine Learning, ICML 2015",
publisher = "International Machine Learning Society (IMLS)",
pages = "30--39",
editor = "Francis Bach and David Blei",
booktitle = "32nd International Conference on Machine Learning, ICML 2015",
}