Augmentation-Free Self-Supervised Learning on Graphs. - Namkyeong Lee; Junseok Lee 002; Chanyoung Park 001 (AAAI, 2022)

Relational Self-Supervised Learning on Graphs. - Namkyeong Lee; Dongmin Hyun; Junseok Lee 002; Chanyoung Park 001 (CIKM, 2022)

GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. - Junseok Lee 002; Yunhak Oh; Yeonjun In; Namkyeong Lee; Dongmin Hyun; Chanyoung Park 001 (SIGIR, 2022)

Self-supervised graph representation learning via positive mining. - Namkyeong Lee; Junseok Lee 002; Chanyoung Park 001 (Inf. Sci., 2022)

Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis. - Sein Kim; Namkyeong Lee; Junseok Lee 002; Dongmin Hyun; Chanyoung Park 001 (AAAI, 2023)

Conditional Graph Information Bottleneck for Molecular Relational Learning. - Namkyeong Lee; Dongmin Hyun; Gyoung S. Na; Sungwon Kim 002; Junseok Lee 002; Chanyoung Park 001 (ICML, 2023)

Task-Equivariant Graph Few-shot Learning. - Sungwon Kim 002; Junseok Lee 002; Namkyeong Lee; Wonjoong Kim; Seungyoon Choi; Chanyoung Park 001 (KDD, 2023)

Single-cell RNA-seq data imputation using Feature Propagation. - Sukwon Yun; Junseok Lee 002; Chanyoung Park 001 (CoRR, 2023)

Single-cell RNA sequencing data imputation using bi-level feature propagation. - Junseok Lee 002; Sukwon Yun; Yeongmin Kim; Tianlong Chen 001; Manolis Kellis; Chanyoung Park 001 (Briefings Bioinform., 2024)

Subgraph Federated Learning for Local Generalization. - Sungwon Kim 002; Yoonho Lee 002; Yunhak Oh; Namkyeong Lee; Sukwon Yun; Junseok Lee 002; Sein Kim; Carl Yang 001; Chanyoung Park 001 (ICLR, 2025)

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics. - Yunhak Oh; Junseok Lee 002; Yeongmin Kim; Sangwoo Seo; Namkyeong Lee; Chanyoung Park 001 (CoRR, 2025)

Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. - Sukwon Yun; Xin Liu; Yunhak Oh; Junseok Lee 002; Tianlong Chen 001; Tsuyoshi Murata; Chanyoung Park 001 (CoRR, 2025)