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Learning to be simple: machine learning uncovers structures in finite simple groups

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure ...
IEEE

Micro-Structures Graph-Based Point Cloud Registration for Balancing Efficiency and Accuracy

Point cloud registration (PCR) is a fundamental and significant issue in photogrammetry and remote sensing, aiming to seek the optimal rigid transformation between sets of points. Achieving efficient ...
Frontiers

Semantic and fiducial-aided graph simultaneous localization and mapping (SF-GraphSLAM) for robotic in-space assembly and servicing of large truss structures

Field and Space Experimental Robotics (FASER) Laboratory, Mechanical Engineering Department, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States This article proposes a ...
IEEE

Enhancing Graph Structure Learning via Motif-Driven Hypergraph Construction

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
C&EN

Interpretable Graph Neural Network for Predicting Transient Electronic Structures of Semiconductor Quantum Dots

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