Abstract: Bayesian Personalized Ranking (BPR) is a widely used optimization function in GNN-based recommender systems, and negative samples are usually obtained through the Random Negative Sampling ...
Abstract: Distributed weakly convex optimization is a significant class of problems in signal and information processing, with wide-ranging applications such as sparse dictionary learning, low-rank ...
Main dependencies (with python >= 3.7) are: torch==1.8.1 torch-cluster==1.5.9 torch-geometric==2.0.3 torch-scatter==2.0.9 torch-sparse==0.6.12 torch-spline-conv==1.2.1 torchdiffeq==0.2.3 It is best to ...
The Scenario Runner is an application that executes shader and neural network graph workloads through Vulkan® or the ML extensions for Vulkan®. The Scenario Runner acts as a validation and performance ...
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