Kalkine Media

What Does Russell 1000 Mean for Rockwell Automation (NYSE:ROK)?

Rockwell Automation (NYSE:ROK) expands automation technologies alongside Russell 1000 benchmark inclusion, FactoryTalk ...
IEEE

Domain-Adaptive Graph Attention-Supervised Network for Cross-Network Edge Classification

Abstract: Graph neural networks (GNNs) have shown great ability in modeling graphs; however, their performance would significantly degrade when there are noisy edges connecting nodes from different ...
techxplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
GitHub

CEGANN: Crystal Edge Graph Attention Neural Network

Implementation of Crystal Edge Graph Attention Neural Network (CEGANN) workflow that uses graph attention-based architecture to perform multiscale classification of materials. Copy CEGAN code in the ...
GitHub

Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting

tl;dr: We provably improve GNN expressivity by enhancing message passing with substructure encodings. Our method allows incorporating domain specific prior knowledge and can be used as a drop-in ...
C&EN

Topology-Based Phase Identification of Bulk, Interface, and Confined Water Using an Edge-Conditioned Convolutional Graph Neural Network

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 ...
Frontiers

Efficient graph convolutional networks for seizure prediction using scalp EEG

Epilepsy is a chronic brain disease that causes persistent and severe damage to the physical and mental health of patients. Daily effective prediction of epileptic seizures is crucial for epilepsy ...
IEEE

Graph Neural Network via Edge Convolution for Hyperspectral Image Classification

Abstract: Graph neural network (GNN) has recently gained increasing attention in the hyperspectral image (HSI) classification. Compared with convolutional neural network (CNN), GNN can effectively ...