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 ...
If a picture tells a thousand words, a graph may tell a million. A dynamic graph reportedly showing Nancy Pelosi’s meteoric rise in the stock market is […] ...
The reclusive artist Gloria Klein has gone overlooked for too long. A new show at Anat Ebgi gallery in New York is changing ...
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 ...
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