Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...
Inspired by kirigami, a type of Japanese paper art, researchers have created a new material that transforms from a grid into ...
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 ...
This repository is the implementation of the following paper: Theoretical Insights into Line Graph Transformation on Graph Learning. This project is built on the BREC dataset which includes 400 pairs ...