Namkyeong Lee

According to our database, Namkyeong Lee authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge.

Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park

CoRR, 2024

Protein-Mamba: Biological Mamba Models for Protein Function Prediction.

Bohao Xu, Yingzhou Lu, Yoshitaka Inoue, Namkyeong Lee, Tianfan Fu, Jintai Chen

CoRR, 2024

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective.

Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models.

Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Stoichiometry Representation Learning with Polymorphic Crystal Structures.

Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park

CoRR, 2023

Predicting Density of States via Multi-modal Transformer.

Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Shift-Robust Molecular Relational Learning with Causal Substructure.

Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Task Relation-aware Continual User Representation Learning.

Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Task-Equivariant Graph Few-shot Learning.

Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Conditional Graph Information Bottleneck for Molecular Relational Learning.

Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park

Proceedings of the International Conference on Machine Learning, 2023

Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis.

Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Self-supervised graph representation learning via positive mining.

Namkyeong Lee, Junseok Lee, Chanyoung Park

Inf. Sci., 2022

GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment.

Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Relational Self-Supervised Learning on Graphs.

Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Augmentation-Free Self-Supervised Learning on Graphs.

Namkyeong Lee, Junseok Lee, Chanyoung Park

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022