Abstract: Heterogeneous Graph Neural Networks (HGNNs) are powerful tools for deep learning on heterogeneous graphs. Typical HGNNs require repetitive message passing during training, limiting ...
Abstract: Vision Graph Neural Network (ViG) is the first graph neural network model capable of directly processing image data. The community primarily focuses on the model structures to improve ViG's ...
MIT License Copyright (c) 2025 MichaelsGameLab Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated ...
Variable Rate Shading (VRS), also known as Fragment Shading Rate, is a technique which allows to decouple the rasterization and pixel shading rate. VRS can be used to minimize the pixel shading ...
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