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Stanford CS224W: ML with Graphs | 2021 | Lecture 2.3 - Traditional Feature-based Methods: Graph
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
Deep Graph Kernels
Graphs, Vectors and Machine Learning - Computerphile
Lecture 12a of kernel methods: Kernels for graphs
Machine Learning with Graphs: Graph-level Features and Graph Kernels
Part110: theoretically improving graph neural networks via anonymous walks graph kernels
Part145: graph kernels
Weisfeiler-Lehman Neural Machine for Link Prediction
Part146: graph kernels: a survey
Part213: graph neural tangent kernel: fusing graph neural networks with graph kernels
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Last Updated: August 15, 2026
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