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 ...

The representation is independent of the source language. Features and labels can be added at any granularity to support whole-program, per-instruction, or per-relation reasoning tasks. Fast: The core ...

Nonetheless, some graph-based approaches omit the existence of useful priors that account for the structure of a scene, and the inter- and intra-relationships between the pixels are analyzed. To ...

Additionally, an analytical comparison between mapping the bond graph as either homogeneous or heterogeneous graph is shown. By analyzing the graph in spectral domain, the frequency component ...