KAGNN: Graph neural network with kernel alignment for heterogeneous graph learning

Mingjing Han; Han Zhang

doi:10.1016/j.knosys.2024.111561

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KAGNN: Graph neural network with kernel alignment for heterogeneous graph learning

Mingjing Han Han Zhang

Year: 2024 Journal: Knowledge-Based Systems Vol: 289 Pages: 111561-111561 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2024.111561

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Keywords:

Computer science Graph kernel Kernel (algebra) Graph Theoretical computer science Artificial intelligence Feature learning Kernel method Kernel embedding of distributions Pattern recognition (psychology) Mathematics Support vector machine

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Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Graph Theory and Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

KAGNN: Graph neural network with kernel alignment for heterogeneous graph learning

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