However, real-world applications present unique challenges due ... Traditional models, such as graph neural networks (GNNs) and transformer-based architectures, have been widely adopted in traffic ...

Abstract: Existing efforts are dedicated to designing many topologies and graph-aware strategies for the graph Transformer, which greatly improve the model’s representation capabilities. However, ...

A newly designed "transformer" robot with the ability to ... We also want to test our structures with real-world applications like space robots." Their findings were published July 26 in the ...

Abstract: This brief proposes a systematic method for building multi-lobe locally active memristors (LAMs) via the rectified linear unit (ReLU) function. Theoretical analysis and numerical simulations ...

The researchers leverage a concept from graph theory called the “k-dominating set” to select the anchor nodes ... and effective graph learning methods, enabling the application of Transformers to a ...

As the demand for smaller form factors and higher energy efficiency for charger/adapter grows, the wide bandgap (WBG) device technology is gaining popularity. To use the potential of WBG and thus ...