Papers › A Simple Baseline Algorithm for Graph Classification

A Simple Baseline Algorithm for Graph Classification

22 Oct 2018arXiv:1810.09155archive 2025-07-28

Nathan de Lara, Edouard Pineau

Graph classification has recently received a lot of attention from various fields of machine learning e.g. kernel methods, sequential modeling or graph embedding. All these approaches offer promising results with different respective strengths and weaknesses. However, most of them rely on complex mathematics and require heavy computational power to achieve their best performance. We propose a simple and fast algorithm based on the spectral decomposition of graph Laplacian to perform graph classification and get a first reference score for a dataset. We show that this method obtains competitive results compared to state-of-the-art algorithms.

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