AE, a graph embedding model that trains in closed form without gradient descent while outperforming conventional graph ...

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

Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...