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vacuum is the worlds fastest OpenAPI 3, OpenAPI 2 / Swagger linter and quality analysis tool. Built in go, it tears through API specs faster than you can think. vacuum is compatible with Spectral rulesets and generates compatible reports.
spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.