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 ...

Image annotation is usually formulated as a multi-label semi-supervised learning problem. Traditional graph-based methods only utilize the data (images) graph induced from image similarities, while ...

🐛 Describe the bug While testing both eager and aot_eager modes, I observed that aot_eager does not capture exceptions as expected. I found that during graph optimization, the torch.cuda.synchronize ...

A multi-label network not only has multiple labels for each node, the labels are often highly correlated making existing methods ineffective or even fail to handle such correlation for node ...