6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
Image-to-Graph Transformers for Chemical Structure Recognition
Sanghyun Yoo, Ohyun Kwon, Hoshik Lee
For several decades, chemical knowledge has been published in written text, and there have been many attempts to make it accessible, for example, by transforming such natural langu…
cs.LG2020★ 6 cited
Graph-Aware Transformer: Is Attention All Graphs Need?
Sanghyun Yoo, Young-Seok Kim, Kang Hyun Lee +4
Graphs are the natural data structure to represent relational and structural information in many domains. To cover the broad range of graph-data applications including graph classi…