Tag: graph convolutional network

Researchers at the University of Tabriz have developed GCAT, a graph-convolutional adversarial transformer that detects anomalies in multivariate sensor data ...

A new hybrid model called TG-Parser combines Transformer encoders with graph convolutional networks to achieve record-setting accuracy in English grammatical ...

Researchers have built an end-to-end deep learning framework that combines 3D hand pose estimation with hand action recognition from egocentric ...

Researchers have introduced RPGCN, a relation-preserving graph convolutional network that combats oversmoothing and relational dilution to outperform state-of-the-art baselines across ...

Researchers recycled abandoned nylon fishing nets into concrete fibers, achieving up to 147.71 percent higher flexural strength and using a ...