Publications

Atom-level protein representation learning framework

Atom-level Protein Representation Learning Improves Protein Structure Prediction

Taewon Kim*, Hyosoon Jang*, Hyunjin Seo, Seonghwan Seo, Hyeongwoo Kim, Wonho Zhung, Mingyeong Shin, Wooyoun Kim, Sungsoo Ahn (*: equal contribution)
Preprint PDF
VibeProteinBench framework

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design

Hyunjin Seo, Hongjoon Ahn, Jimin Park, Sungjun Han, Gyubok Lee, Soojung Yang, Joseph S Brown, Leo Chen, Gina El Nesr, Feyisayo Eweje, Sarah Gurev, Hyejin Lee, Cheng-Hao Liu, Junlang Liu, Zhihui Qi, Gyu Rie Lee, Sungsoo Ahn, Jamin Shin, Sangwon Jung
Preprint PDF
Boltz framework

Boltz is a Strong Baseline for Atom-level Representation Learning

Hyosoon Jang, Hyunjin Seo, Yunhui Jang, Seonghyun Park, Sungsoo Ahn
Preprint PDF
MELD framework

Learning Flexible Forward Trajectories for Masked Molecular Diffusion

Hyunjin Seo*, Taewon Kim*, Sihyun Yu, Sungsoo Ahn (*: equal contribution)
ICLR 2026 PDF Project
ReBind framework

ReBind: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring

Taewon Kim*, Hyunjin Seo*, Sungsoo Ahn, Eunho Yang (*: equal contribution)
ICLR 2025 PDF Code
TEDDY framework

TEDDY: Trimming Edges with Degree-based Discrimination strategY

Hyunjin Seo*, Jihun Yun*, Eunho Yang (*: equal contribution)
ICLR 2024 PDF Code

Atom-level Protein Representation Learning Improves Protein Structure Prediction

Taewon Kim*, Hyosoon Jang*, Hyunjin Seo, Seonghwan Seo, Hyeongwoo Kim, Wonho Zhung, Mingyeong Shin, Wooyoun Kim, Sungsoo Ahn (*: equal contribution)
Preprint PDF

VibeProteinBench: An Evaluation Benchmark for Language-interfaced Vibe Protein Design

Hyunjin Seo, Hongjoon Ahn, Jimin Park, Sungjun Han, Gyubok Lee, Soojung Yang, Joseph S Brown, Leo Chen, Gina El Nesr, Feyisayo Eweje, Sarah Gurev, Hyejin Lee, Cheng-Hao Liu, Junlang Liu, Zhihui Qi, Gyu Rie Lee, Sungsoo Ahn, Jamin Shin, Sangwon Jung
Preprint PDF

Boltz is a Strong Baseline for Atom-level Representation Learning

Hyosoon Jang, Hyunjin Seo, Yunhui Jang, Seonghyun Park, Sungsoo Ahn
Preprint PDF

Learning Flexible Forward Trajectories for Masked Molecular Diffusion

Hyunjin Seo*, Taewon Kim*, Sihyun Yu, Sungsoo Ahn (*: equal contribution)
ICLR 2026 PDF Project

ReBind: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring

Taewon Kim*, Hyunjin Seo*, Sungsoo Ahn, Eunho Yang (*: equal contribution)
ICLR 2025 PDF Code

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy

Hyunjin Seo, Kyusung Seo*, Joonhyung Park*, Eunho Yang (*: equal contribution)
AAAI 2025 PDF

Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models

Hyunjin Seo*, Taewon Kim*, June Yong Yang, Eunho Yang (*: equal contribution)
Preprint PDF

TEDDY: Trimming Edges with Degree-based Discrimination strategY

Hyunjin Seo*, Jihun Yun*, Eunho Yang (*: equal contribution)
ICLR 2024 PDF Code

PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo Label

Joonhyung Park, Hyunjin Seo, Eunho Yang
ICCV 2023 PDF

Efficient Subword Segmentation for Korean Language Classification

Hyunjin Seo*, Jeongjae Nam*, Minseok Kim* (*: equal contribution)
HCLT 2022

Analysis and Utilization of Hypergraph Neural Networks

Hyunjin Seo, Seongjun Yun, Jaewoo Kang
KCC 2021 🏆 Best Undergraduate Award PDF

Relation-aware Pseudo-labeling for Link Prediction with Graph Neural Networks

Hyunjin Seo*, Seongjun Yun*, Buru Chang, Jaewoo Kang (*: equal contribution)
Under Review PDF