Abstract: This paper focuses on the integration of Graph Convolution Network and Graph Attention Network, two cutting-edge models in graph neural networks, aiming to explore a new paradigm of graph ...
Abstract: In received signal strength (RSS)-based visible light positioning (VLP) systems, weighted k-nearest neighbors (WKNN) and its improved algorithms based on distance metrics are widely used for ...
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
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