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On Graph Kernels
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
Machine Learning with Graphs: Graph-level Features and Graph Kernels
Part204: exploring consistency in graph representations: from graph kernels to graph neural networks
Deep Graph Kernels
GBK-GNN: Gated Bi-Kernel Graph Neural Network for Modeling Both Homophily and Heterophily
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
Stanford CS224W: ML with Graphs | 2021 | Lecture 2.3 - Traditional Feature-based Methods: Graph
Graph Neural Networks Explained: A Clear Guide to GNN Basics & Models
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Last Updated: August 13, 2026
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