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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.
Program for generating Arch Linux Pacman Manager dependencies graph
Program to help using Arch Linux Pacman package manager. Program using pydot (python interface for Graphviz http://code.google.com/p/pydot/) to generate graph of dependencies for package selected by user.