Devdiscourse

AI takes the helm in power systems facing renewable and carbon pressures

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
The New York Times

30 Charts That Show How Covid Changed Everything

Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...
IEEE

Label Guided Graph Optimized Convolutional Network for Semi-Supervised Learning

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...
IEEE

SDHGCN: A Heterogeneous Graph Convolutional Neural Network Combined With Shadowed Set

Abstract: Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have ...
C&EN

Improving Prediction Performance on Solute Parameters Using Multitask Relational Graph Convolutional Networks with Explicit Hydrogens

Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian Key Laboratory on Chemicals Risk Control and Pollution Prevention Technology, School of Environmental ...