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Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...

Abstract: The emergence of big data has enabled the creation of significant models by allowing the storage of large data volumes. Transfer learning is a machine learning technique that transfers ...

This repo provides a set of useful functions for operating on sparsely stored arrays. This is extremely useful for significantly reducing storage and minorly improving runtime when you have high ...

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Rust + WASM sublinear-time solver for asymmetric diagonally dominant systems. Exposes Neumann series, push, and hybrid random-walk algorithms with npm/npx CLI and Flow-Nexus HTTP streaming for swarm ...

An image of the core region of Messier 87, home to a supermassive black hole, processed from a sparse array of radio telescopes known as the Event Horizon Telescope. (Image credit: Event Horizon ...