Search Results for author: Hoshik Lee

Found 4 papers, 0 papers with code

Image-to-Graph Transformers for Chemical Structure Recognition

no code implementations19 Feb 2022 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 language text to a structured format.


no code implementations1 Jan 2021 Kisoo Kwon, Jung-Hyun Park, Kuhwan Jeong, Sunjae Lee, Hoshik Lee

Variational autoencoder (VAE) is a generation algorithm, consisting of an encoder and a decoder, and the latent variable from the encoder is used as the input of the decoder.

Text Generation

Graph-Aware Transformer: Is Attention All Graphs Need?

no code implementations9 Jun 2020 Sanghyun Yoo, Young-Seok Kim, Kang Hyun Lee, Kuhwan Jeong, Junhwi Choi, Hoshik Lee, Young Sang Choi

To cover the broad range of graph-data applications including graph classification as well as graph generation, it is desirable to have a general and flexible model consisting of an encoder and a decoder that can handle graph data.

Graph Classification Graph Generation

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