Park, Chanyoung

32 publications

NeurIPS 2025 3D Interaction Geometric Pre-Training for Molecular Relational Learning Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Minkai Xu, Hanchen, Tianfan Fu, Chanyoung Park

ICLRW 2025 Capturing Functional Context of Genetic Pathways Through Hyperedge Disentanglement Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park

NeurIPS 2025 Disentangling Hyperedges Through the Lens of Category Theory Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park

ICML 2025 Global Context-Aware Representation Learning for Spatially Resolved Transcriptomics Yunhak Oh, Junseok Lee, Yeongmin Kim, Sangwoo Seo, Namkyeong Lee, Chanyoung Park

AAAI 2025 RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park

ICLRW 2025 RAG-Enhanced Collaborative LLM Agents for Drug Discovery Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park, Gabriele Scalia

ICLR 2025 Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning Gyoung S. Na, Chanyoung Park

ICLR 2025 Subgraph Federated Learning for Local Generalization Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park

ICML 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

NeurIPS 2025 Training Robust Graph Neural Networks by Modeling Noise Dependencies Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park

ICLR 2025 Weakly Supervised Video Scene Graph Generation via Natural Language Supervision Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon, Donghyun Kim, Chanyoung Park

NeurIPSW 2024 3D Interaction Geometric Pre-Training for Molecular Relational Learning Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Chanyoung Park

ICLR 2024 Adaptive Self-Training Framework for Fine-Grained Scene Graph Generation Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park

CVPR 2024 LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park

ECCV 2024 Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network Sukwon Yun, Jie Peng, Alexandro E Trevino, Chanyoung Park, Tianlong Chen

NeurIPS 2024 Retrieval-Retro: Retrieval-Based Inorganic Retrosynthesis with Expert Knowledge Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park

ECCV 2024 Semantic Diversity-Aware Prototype-Based Learning for Unbiased Scene Graph Generation Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon, Chanyoung Park

AAAI 2024 Sterling: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong

ICML 2024 Unsupervised Episode Generation for Graph Meta-Learning Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park

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

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

NeurIPSW 2023 Electron-Derived Molecular Representation Learning for Real-World Molecular Physics Gyoung S. Na, Chanyoung Park

AAAI 2023 Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park

NeurIPS 2023 Interpretable Prototype-Based Graph Information Bottleneck Sangwoo Seo, Sungwon Kim, Chanyoung Park

ICLRW 2023 Predicting Density of States via Multi-Modal Transformer Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park

NeurIPSW 2023 Stoichiometry Representation Learning with Polymorphic Crystal Structures Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park

AAAI 2023 Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park

AAAI 2022 Augmentation-Free Self-Supervised Learning on Graphs Namkyeong Lee, Junseok Lee, Chanyoung Park

NeurIPSW 2022 Shift-Robust Node Classification via Graph Clustering Co-Training Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han

AAAI 2020 Unsupervised Attributed Multiplex Network Embedding Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu

IJCAI 2019 Action Space Learning for Heterogeneous User Behavior Prediction Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu

IJCAI 2019 Sequential and Diverse Recommendation with Long Tail Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu