Metropolis-Hastings Data Augmentation for Graph Neural Networks. - Hyeon-Jin Park; Seunghun Lee 001; Sihyeon Kim; Jinyoung Park; Jisu Jeong; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (NeurIPS, 2021)

Learning Augmentation for GNNs With Consistency Regularization. - Hyeon-Jin Park; Seunghun Lee 001; Dasol Hwang; Jisu Jeong; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (IEEE Access, 2021)

Graph Transformer Networks: Learning meta-path graphs to improve GNNs. - Seongjun Yun; Minbyul Jeong; Sungdong Yoo; Seunghun Lee 001; Sean S. Yi; Raehyun Kim; Jaewoo Kang; Hyunwoo J. Kim (Neural Networks, 2022)

NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. - Hyeong Kyu Choi; Seunghun Lee 001; Jaewon Chu; Hyunwoo J. Kim (NeurIPS, 2023)

Advancing Bayesian Optimization via Learning Correlated Latent Space. - Seunghun Lee 001; Jaewon Chu; Sihyeon Kim; Juyeon Ko; Hyunwoo J. Kim (NeurIPS, 2023)

Inversion-based Latent Bayesian Optimization. - Jaewon Chu; Jinyoung Park; Seunghun Lee 001; Hyunwoo J. Kim (NeurIPS, 2024)

Latent Bayesian Optimization via Autoregressive Normalizing Flows. - Seunghun Lee 001; Jinyoung Park; Jaewon Chu; Minseo Yoon; Hyunwoo J. Kim (ICLR, 2025)