IEEE

Efficient 2-D/3-D Gaze Estimation Using TGGNet: A Transformer Graph Approach

Abstract: The human eye gaze is a crucial visual and cognitive attention indicator, with broad applications in intelligent vehicle systems and human–machine interaction. This article presents a novel ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
IGN

James Gunn Took a Huge Risk By Changing Superman's Origin Story, Does It Work?

This article contains spoilers for Superman. Superman's origin was first revealed on a single page during his debut in 1938's Action Comics #1. In the eighty-plus years since then, the story has ...
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, ...