Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...
Abstract: Recent progress in research on deep graph networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important ...
VGSLify is a powerful toolkit designed to simplify the process of defining, training, and interpreting deep learning models using the Variable-size Graph Specification Language (VGSL). Inspired by ...
2 📖 🟢 Implementation of Computing Derivative and Automat... Beginner Start Lab 3 📖 🟢 Linear Regression Implemented by Tensorflow 2 Beginner Start Lab 4 📖 🟢 Polynomial Regression Implemented by ...
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