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Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.
Eng: Digital Signature with x.509 certificates and smartcards for PDFand PAdES format documents in Spanish for Windows OS (8 and 10). Esp: Firma Digital de documents electrónicos PDF en formato PAdES con certificados digitales X.509 y tokens criptográficos en español.
Goal of oraschemadoc is to provide detailed documentation for all objects in schema covering Oracle specific features. Result of execution of oraschemadoc is set of static xhtml files. There are more features under development...
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