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A collection of important graph embedding, classification and representation learning papers with implementations.

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GitHub Stars
193
Curated Resources
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18 hours ago
Last Refreshed
FactorizationSpectral and Statistical FingerprintsDeep LearningGraph Kernels

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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me graph kernels resources from awesome-graph-classification"

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What's inside

Showing a sample of 193 resources. View the full list on GitHub →