Reference
Graph Neural Networks with Learnable Structural and Positional Representations,
(2021)
Abstract
Graph neural networks (GNNs) have become the standard learning architectures for graphs. GNNs have been applied to numerous domains ranging from quantum chemistry, recommender systems to knowledge...
