Search Results - Lee, Namkyeong

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  1. 1
    Self-supervised graph representation learning via positive mining

    Self-supervised graph representation learning via positive mining by Lee, Namkyeong, Lee, Junseok, Park, Chanyoung

    Published in Information sciences
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  2. 2
    Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning

    Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning by Lee, Junseok, Kim, Sungwon, Hyun, Dongmin, Lee, Namkyeong, Kim, Yejin, Park, Chanyoung

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  3. 3
    Augmentation-Free Self-Supervised Learning on Graphs

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

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  4. 4
    Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis

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

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  5. 5
    Debiased Graph Poisoning Attack via Contrastive Surrogate Objective

    Debiased Graph Poisoning Attack via Contrastive Surrogate Objective by Yoon, Kanghoon, Yeonjun In, Lee, Namkyeong, Kim, Kibum, Park, Chanyoung

    Published in arXiv.org
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  6. 6
    Relational Self-Supervised Learning on Graphs

    Relational Self-Supervised Learning on Graphs by Lee, Namkyeong, Hyun, Dongmin, Lee, Junseok, Park, Chanyoung

    Published in arXiv.org
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  7. 7
    Task Relation-aware Continual User Representation Learning

    Task Relation-aware Continual User Representation Learning by Sein, Kim, Lee, Namkyeong, Kim, Donghyun, Yang, Minchul, Park, Chanyoung

    Published in arXiv.org
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  8. 8
    Task-Equivariant Graph Few-shot Learning

    Task-Equivariant Graph Few-shot Learning by Kim, Sungwon, Lee, Junseok, Lee, Namkyeong, Kim, Wonjoong, Choi, Seungyoon, Park, Chanyoung

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  9. 9
    Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge

    Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge by Noh, Heewoong, Lee, Namkyeong, Na, Gyoung S, Park, Chanyoung

    Published in arXiv.org
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  10. 10
    GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment

    GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment by Lee, Junseok, Oh, Yunhak, Yeonjun In, Lee, Namkyeong, Hyun, Dongmin, Park, Chanyoung

    Published in arXiv.org
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  11. 11
    Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models

    Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models by Lee, Namkyeong, Laghuvarapu, Siddhartha, Park, Chanyoung, Sun, Jimeng

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  12. 12
    Augmentation-Free Self-Supervised Learning on Graphs

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

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  13. 13
    Heterogeneous Graph Learning for Multi-modal Medical Data Analysis

    Heterogeneous Graph Learning for Multi-modal Medical Data Analysis by Sein, Kim, Lee, Namkyeong, Lee, Junseok, Hyun, Dongmin, Park, Chanyoung

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  14. 14
    Compositional Representation of Polymorphic Crystalline Materials

    Compositional Representation of Polymorphic Crystalline Materials by Lee, Namkyeong, Noh, Heewoong, Na, Gyoung S, Sun, Jimeng, Fu, Tianfan, Zitnik, Marinka, Park, Chanyoung

    Published in arXiv.org
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  15. 15
    Protein-Mamba: Biological Mamba Models for Protein Function Prediction

    Protein-Mamba: Biological Mamba Models for Protein Function Prediction by Xu, Bohao, Lu, Yingzhou, Inoue, Yoshitaka, Lee, Namkyeong, Fu, Tianfan, Chen, Jintai

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  16. 16
    3D Interaction Geometric Pre-training for Molecular Relational Learning

    3D Interaction Geometric Pre-training for Molecular Relational Learning by Lee, Namkyeong, Oh, Yunhak, Noh, Heewoong, Na, Gyoung S, Xu, Minkai, Wang, Hanchen, Fu, Tianfan, Park, Chanyoung

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  17. 17
    Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer

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

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  18. 18
    Conditional Graph Information Bottleneck for Molecular Relational Learning

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

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  19. 19
    Shift-Robust Molecular Relational Learning with Causal Substructure

    Shift-Robust Molecular Relational Learning with Causal Substructure by Lee, Namkyeong, Yoon, Kanghoon, Na, Gyoung S, Sein, Kim, Park, Chanyoung

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  20. 20
    Predicting Density of States via Multi-modal Transformer

    Predicting Density of States via Multi-modal Transformer by Lee, Namkyeong, Noh, Heewoong, Kim, Sungwon, Hyun, Dongmin, Na, Gyoung S, Park, Chanyoung

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