2 papers
cs.LG2020
On the Global Self-attention Mechanism for Graph Convolutional Networks
Chen Wang, Chengyuan Deng
Applying Global Self-attention (GSA) mechanism over features has achieved remarkable success on Convolutional Neural Networks (CNNs). However, it is not clear if Graph Convolutiona…
cs.LG2019
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations
Chen Wang, Chengyuan Deng, Vladimir Ivanov
Variational Autoencoders (VAEs) are powerful in data representation inference, but it cannot learn relations between features with its vanilla form and common variations. The abili…