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)

Task Relation-aware Continual User Representation Learning. - Sein Kim; Namkyeong Lee; Donghyun Kim 007; Min-Chul Yang; Chanyoung Park 001 (KDD, 2023)

Shift-Robust Molecular Relational Learning with Causal Substructure. - Namkyeong Lee; Kanghoon Yoon; Gyoung S. Na; Sein Kim; Chanyoung Park 001 (KDD, 2023)

Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. - Namkyeong Lee; Heewoong Noh; Sungwon Kim 002; Dongmin Hyun; Gyoung S. Na; Chanyoung Park 001 (NeurIPS, 2023)

Predicting Density of States via Multi-modal Transformer. - Namkyeong Lee; Heewoong Noh; Sungwon Kim 002; Dongmin Hyun; Gyoung S. Na; Chanyoung Park 001 (CoRR, 2023)

Stoichiometry Representation Learning with Polymorphic Crystal Structures. - Namkyeong Lee; Heewoong Noh; Gyoung S. Na; Tianfan Fu; Jimeng Sun 001; Chanyoung Park 001 (CoRR, 2023)

Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. - Namkyeong Lee; Siddhartha Laghuvarapu; Chanyoung Park 001; Jimeng Sun 001 (CIKM, 2024)

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. - Kanghoon Yoon; Yeonjun In; Namkyeong Lee; Kibum Kim; Chanyoung Park 001 (CIKM, 2024)

Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge. - Heewoong Noh; Namkyeong Lee; Gyoung S. Na; Chanyoung Park 001 (NeurIPS, 2024)

Protein-Mamba: Biological Mamba Models for Protein Function Prediction. - Bohao Xu; Yingzhou Lu; Yoshitaka Inoue; Namkyeong Lee; Tianfan Fu; Jintai Chen (CoRR, 2024)

3D Interaction Geometric Pre-training for Molecular Relational Learning. - Namkyeong Lee; Yunhak Oh; Heewoong Noh; Gyoung S. Na; Minkai Xu; Hanchen Wang 002; Tianfan Fu; Chanyoung Park 001 (CoRR, 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)

RAG-Enhanced Collaborative LLM Agents for Drug Discovery. - Namkyeong Lee; Edward De Brouwer; Ehsan Hajiramezanali; Chanyoung Park 001; Gabriele Scalia (CoRR, 2025)

MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models. - Junmo Kim; Namkyeong Lee; Jiwon Kim; Kwangsoo Kim (CoRR, 2025)

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks. - Sungwon Kim; Namkyeong Lee; Yunyoung Doh; Seungmin Shin; Guimok Cho; Seung-Won Jeon; Sangkook Kim; Chanyoung Park (CoRR, 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)