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 ...
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 ...
Dhurandhar’ achieves remarkable box office success, crossing the ₹250 crore mark in its second weekend with strong audience ...
Federal Reserve policymakers cut interest rates for the third straight meeting on Wednesday while signaling there may be only one cut next year as rates get closer to a neutral level. The Fed lowered ...
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 ...
'THIN ICE!': Trump Allies Turn On Kristi Noem; 'Secret Push' To Oust US Homeland Security Secy A major power struggle is unfolding inside the Trump administration — and Homeland Security Secretary ...
Russia’s Foreign Intelligence Service (SVR) has dropped a stunning new allegation against France, claiming the Macron government is actively seeking a direct role in the Ukraine–Russia war. According ...