Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...
The battles were over, but the soldiers still fought. Flashbacks, nightmares, and depression plagued them. Some slurred their speech. Others couldn’t concentrate. Haunted and fearful, the soldiers ...
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 ...
QVGE is a multiplatform graph editor written in C++/Qt. Its main goal is to make possible visually edit two-dimensional graphs in a simple and intuitive way. Please note that QVGE is not a replacement ...
The MISHA system looks like a pint-sized version of a car shock absorber. Measuring just three-tenths of an inch by two inches, it has a steel piston on top that slides in and out of a polymer ...
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