A research team from Kumamoto University has developed a promising deep learning model that significantly enhances ... within large and complex networks. However, conventional Graph Neural Networks ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

But neural networks only predict based on patterns from the past—what happens when the weather does something that's unprecedented ... Swarming is one of the principal forms of bacterial ...

The artificial intelligence platform DeepSeek is being used to help with research and development for China’s most advanced warplanes, according to a leading aerospace engineer. Wang Yongqing ...

We propose two new methods: Path Selection with Rejection Strategy (PSRS), which leverages Message-Passing Neural Networks (MPNN), and Dual-Agent Tree Topology Exploration (DATTE), which employs Graph ...

Abstract: Using skeletal information to model and recognize human actions is currently a hot research subject in the realm of Human Action Recognition (HAR). Graph Convolutional Networks (GCN) have ...