arXiv · 1504.05457
Graphlet-based lazy associative graph classification
Abstract
The paper addresses the graph classification problem and introduces a modification of the lazy associative classification method to efficiently handle intersections of graphs. Graph intersections are approximated with all common subgraphs up to a fixed size similarly to what is done with graphlet kernels. We explain the idea of the algorithm with a toy example and describe our experiments with a predictive toxicology dataset.
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Yury Kashnitsky, Sergei O. Kuznetsov. 2015-04-21. Graphlet-based lazy associative graph classification. https://arxiv.org/abs/1504.05457
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