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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.
Documentation, API reference, and code snippets for NativeScript
NativeScript provides platform APIs directly to the JavaScript runtime (with strong types) for a rich TypeScript development experience. Building Web, iOS, Android, and Vision Pro apps with a shared codebase (aka, cross-platform apps) Building native platform apps with portable JavaScript skills. Augmenting JavaScript projects with platform API capabilities. AndroidTV and Watch development
watchOS development. Learning native platforms through JavaScript understanding. Exploring platform API...
"Roberge's Used Robot (RUR) : a PythonLearning Environment" is a Python implementation of a "robot environment" as introduced by R. Pattis in 1981. **It is obsolete.** See https://github.com/aroberge/rur-ple