A survey on graph kernels
Graph kernels have become an established and widely-used technique for solving
classification tasks on graphs. This survey gives a comprehensive overview of techniques …
classification tasks on graphs. This survey gives a comprehensive overview of techniques …
Tudataset: A collection of benchmark datasets for learning with graphs
C Morris, NM Kriege, F Bause, K Kersting… - ar** branch of learning on structured data. During the past 20 years, the …
Retgk: Graph kernels based on return probabilities of random walks
Graph-structured data arise in wide applications, such as computer vision, bioinformatics,
and social networks. Quantifying similarities among graphs is a fundamental problem. In this …
and social networks. Quantifying similarities among graphs is a fundamental problem. In this …
Alzheimer's disease classification based on graph kernel SVMs constructed with 3D texture features extracted from MR images
LJC de Mendonça, RJ Ferrari… - Expert Systems with …, 2023 - Elsevier
Alzheimer's disease (AD) is a neurodegenerative disease characterized by cognitive and
behavioral impairment that significantly interferes with social and occupational functioning …
behavioral impairment that significantly interferes with social and occupational functioning …