EurekAlert!

AI analyzes brainwaves to unlock movement in spinal cord injury cases

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...

Guangzhou Haofang and Qianlang Technology Obtain Patent for Graph Neural Network Coating Detection: Can It Lead Industry 4.0?

Guangzhou Haofang Automotive Parts Co., Ltd. and Guangzhou Qianlang Technology Co., Ltd. recently announced the successful acquisition of a patent titled "An Intelligent Detection Method for Defective ...

Zhongzhexin AI Risk Identification Patent: **Graph Neural Networks** Empowering Enterprise Safety Management

Recently, Zhongzhexin Technology Consulting Co., Ltd. applied for a patent titled "An AI-based Method and System for Identifying Production Risk Hazards in Enterprises," indicating the deep ...
unite

What Every Data Scientist Should Know About Graph Transformers and Their Impact on Structured Data

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...
C&EN

Integrating ESM-2 and Graph Neural Networks with AlphaFold-2 Structures for Enhanced Protein Function Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
EurekAlert!

Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
Benzinga.com

Cathie Wood Says AI Innovation In Healthcare Will Be More 'Profound' Than Autonomous Taxi Networks, Humanoid Robots

The Founder, CEO, and CIO of Ark Invest, Cathie Wood, has highlighted the rising applications of artificial intelligence and how it is poised to impact not only autonomous taxi networks and humanoid ...
IEEE

LQ-GNN: a Graph Neural Network Model for Response Time Prediction of Microservice-based Applications in the Computing Continuum

Abstract: To address the challenges posed by the deployment of microservices of future end-user applications in the cloud continuum, a performance prediction model working together with a network ...
C&EN

Review on Graph Neural Networks for Process Soft Sensor Development, Fault Diagnosis, and Process Monitoring

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...