2022
Structure-Aware Transformer for Graph Representation Learning
ICML 2022spotlight
The Transformer architecture has gained growing attention in graph representation learning recently, as it naturally overcomes several limitations of graph neural networks (GNNs) by avoiding their strict structural inductive biases and instead only encoding the graph structure via positional encodin…