no code implementations • 1 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.
no code implementations • 9 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.