Leveraging Weighted Sums for Integrating Message-Passing and Global Attention in GPS Graph Transformer The General, Powerful, and Scalable (GPS) framework aims to integrate local message-passing with ...

Graph Transformers have recently been successful in various graph representation learning tasks, providing a number of advantages over message-passing Graph Neural Networks. Utilizing Graph ...

Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree biases in message-passing mechanism and developed by NS Lab @ CUK ...