Abstract: Graph neural networks (GNNs) are specifically designed for graph-structured data and have gained significant attention. However, training GNN on large-scale graphs remains challenging due to ...
This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...
Abstract: The Cell-Aware (CA) methodology has become essential to detect and diagnose manufacturing intra-cell defects in modern semiconductor technologies. It characterizes standard cells by creating ...
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