The message-passing paradigm has served as the foundation of graph neural networks (GNNs) for years, making them achieve great success in a wide range of applications. Despite its elegance, this ...

GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks Code of our The Web Conference 2024 paper GraphTranslator: Aligning Graph Model to Large Language Model for ...

Universal Graph Transformer Self-Attention Networks This program provides the implementation of our graph transformer, named UGformer, as described in our paper, where we leverage the transformer self ...