Gyoung S. Na

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Relational Learning

Information Bottleneck

Top Venues

Neural Networks

Publications

Gyoung S. Na, Hyun Woo Kim
Metaheuristics-guided active learning for optimizing reaction conditions of high-performance methane conversion. Appl. Soft Comput. 164 (2024)
Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park
Stoichiometry Representation Learning with Polymorphic Crystal Structures. CoRR (2023)
Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. NeurIPS (2023)
Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park
Conditional Graph Information Bottleneck for Molecular Relational Learning. CoRR (2023)
Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park
Shift-Robust Molecular Relational Learning with Causal Substructure. CoRR (2023)
Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park
Conditional Graph Information Bottleneck for Molecular Relational Learning. ICML (2023)
Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park
Shift-Robust Molecular Relational Learning with Causal Substructure. KDD (2023)
Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
Predicting Density of States via Multi-modal Transformer. CoRR (2023)
Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. CoRR (2023)
Gyoung S. Na
Efficient learning rate adaptation based on hierarchical optimization approach. Neural Networks 150 (2022)
Gyoung S. Na
Eigen-guided deep metric learning. Expert Syst. Appl. 203 (2022)
Gyoung S. Na
Conditional Graph Regression for Complex Chemical Systems with Heterogeneous Substructures. Big Data (2022)
Gyoung S. Na, Chanyoung Park
Nonlinearity Encoding for Extrapolation of Neural Networks. KDD (2022)
Gyoung S. Na, Hyunju Chang
Unsupervised Subspace Extraction via Deep Kernelized Clustering. ACM Trans. Knowl. Discov. Data 16 (1) (2022)
Gyoung S. Na, Hyun Woo Kim
Reverse graph self-attention for target-directed atomic importance estimation. Neural Networks 133 (2021)
Gyoung S. Na, Hyun Woo Kim, Hyunju Chang
Costless Performance Improvement in Machine Learning for Graph-Based Molecular Analysis. J. Chem. Inf. Model. 60 (3) (2020)
Gyoung S. Na, Hyun Woo Kim, Hyunju Chang
Scale-Aware Graph-Based Machine Learning for Accurate Molecular Property Prediction. IEEE BigData (2020)
Gyoung S. Na, Dong Hyun Kim, Hwanjo Yu
DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams. KDD (2018)