NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs
Graph Transformers, emerging as a new architecture for graph representation learning,
suffer from the quadratic complexity and can only handle graphs with at most thousands of …
suffer from the quadratic complexity and can only handle graphs with at most thousands of …
Dual-perspective Cross Contrastive Learning in Graph Transformers
Graph contrastive learning (GCL) is a popular method for leaning graph representations by
maximizing the consistency of features across augmented views. Traditional GCL methods …
maximizing the consistency of features across augmented views. Traditional GCL methods …