Graph classification Gaussian processes via spectral features

Graph classification aims to categorise graphs based on their structure and node attributes. In this work, we propose to tackle this task using tools from graph signal processing by deriving spectral features, which we then use to design two variants of Gaussian process models for graph classificati...

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Bibliografski detalji
Glavni autori: Opolka, FL, Zhi, Y-C, Liò, P, Dong, X
Format: Conference item
Jezik:English
Izdano: Proceedings of Machine Learning Research 2023