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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.
SLOCCount is an easy-to-use tool that counts Source Lines of Code (SLOC). It auto-determines the language(s) (inc. C, C++, Ada, Assembly, shell, COBOL, C#, Fortran, Haskell, Java, LISP/Scheme, Perl, PHP, Python, Ruby, SQL). It also estimates cost & time.