A bag of nodes primer on weightless graph classification
Raul Barbosa, Diego Carvalho, Priscila M. V. Lima, Felipe M. G. França · ESANN 2021 proceedings · 2021
This paper proposes a weightless architecture for graph classification scenarios.This architecture is a three-headed arrangement composed of graph hand-picked features, a quantization method and a final classifier.Although multiple new strategies for graph classification have been proposed in recent years, it is still necessary to settle comparable studies with respect to weightless neural networks.The proposed architecture is evaluated along with other baseline classifiers and independent strategies, showing that weightless architectures are able to compete with other well-established methods such as graph kernels.* This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -Brasil (CAPES) -Finance Code 001, CNPq, FAPERJ and DIPPG -CE-FET/RJ.