Recently, transformer architectures for graphs emerged as an alternative...
Graph Neural Networks (GNNs) extend the success of neural networks to
gr...
Graph neural networks (GNNs) have attracted much attention due to their
...
Graph neural networks (GNNs) based on message passing between neighborin...
Deep neural networks are a promising technology achieving state-of-the-a...
We present two deep generative models based on Variational Autoencoders ...