PyTorch Geometric
PulseAugur coverage of PyTorch Geometric — every cluster mentioning PyTorch Geometric across labs, papers, and developer communities, ranked by signal.
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Spatial Graph Learning Pipeline for Urban Function Inference Detailed
This tutorial demonstrates how to build a spatial graph learning pipeline for urban function inference. It utilizes libraries like city2graph, OSMnx, and PyTorch Geometric to process OpenStreetMap data, construct graph …
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New GPU kernels boost GNN performance with optimized memory access
Researchers have developed new GPU kernels to optimize Graph Neural Networks (GNNs) by addressing memory access bottlenecks. These kernels are designed to reduce data movement and improve locality for three main GNN lay…
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Morphling synthesizer boosts GNN training speed by 20X
Researchers have developed Morphling, a domain-specific code synthesizer designed to optimize the training of Graph Neural Networks (GNNs). Morphling compiles GNN specifications into portable, backend-specialized implem…