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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.
EurekA is a knowldege base system primarily developed in python with MySQL as the database, SQLObject module as the DB API and CherryPy+Genshi as the frontend. The main aim of this project is to provide a dynamic Knowldege Base system that caters to the
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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The Django-driven web-based book-authoring content-management-system (ddwbbacms) is a program that allows authors to work on their books, articles, or topics without having to have their hard drives nearby. Access to the web is all that is required.
A snippet management project that is ideal for code, notes, thoughts and whatever else comes to mind! Can be deployed locally, on an intranet or on the internet.
Gathering requirements should be fun. It's the brainstorming process refined. It shouldn't get in the way of productivity or creativity. Harvest is about gathering requirements in the most intuitive, least intrusive way possible.