IEEE

AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation

Abstract: Data augmentation (DA) is widely employed to improve the generalization performance of deep models. However, most existing DA methods employ augmentation operations with fixed or random ...
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

Production-Increase Potential Evaluations after Refracturing Low-Shale-Oil-Producing Wells via Machine-Learning-Driven Multisource Data Mining

State Key Laboratory of Oil and Gas Reservoir Geology and Exploration (Southwest Petroleum University), Chengdu 610500, China State Key Laboratory of Petroleum Resources and Engineering, China ...
SiliconANGLE

CrowdStrike’s Enterprise Graph aims to redefine AI-era security

CrowdStrike Holdings Inc.’s Enterprise Graph solution is the company’s latest defense against cyberattacks fueled by agentic artificial intelligence. The innovation is part of the company’s new ...