IEEE

Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection

Abstract: Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, ...
IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
C&EN

Interpretable Graph Neural Network for Predicting Transient Electronic Structures of ...

Department of Materials Science and Engineering, Indian Institute of Technology, Delhi-110016, India Department of Chemistry, Indian Institute of Technology, Delhi-110016, India ...
SlashGear

What Is A Neural Engine & How Do NPUs Differ From GPUs?

Computing power has increased exponentially over the past few decades. We now have cameras on smartphones with incredible computational photography, voice assistants that respond near instantaneously, ...
Frontiers

Development and Validation of a A Vision-Based Drowsiness Detection System for Railway ...

The final, formatted version of the article will be published soon. This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by ...