Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...
This program provides the implementation of our graph transformer, named UGformer, as described in our paper, where we leverage the transformer self-attention network to learn graph representations in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback