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 ...
Researchers have built a graph neural network that classifies scientific papers by combining intuitionistic fuzzy uncertainty ...