Publications

2024

  1. KDD Workshop
    Subgraph Federated Learning for Local Generalization
    Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, and Chanyoung Park
    KDD Workshop on Federated Learning for Data Mining and Graph Analytics (FedKDD 2024) (Oral, Best Paper), 2024
    PDF
  2. KDD Workshop
    Interpretable Graph Model with Prototype-Based Graph Information Bottleneck
    Sangwoo Seo, Sungwon Kim, and Chanyoung Park
    KDD 2024 Workshop on Human-Interpretable AI (HI-AI 2024) (Oral, Best Paper), 2024
  3. KDD
    Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck
    Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, and Chanyoung Park
    In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024
  4. ICML
    Unsupervised Episode Generation for Graph Meta-learning
    Jihyeong Jung, Sangwoo Seo, Sungwon Kim, and Chanyoung Park
    International Conference on Machine Learning (ICML), 2024
    PDF Code
  5. WWW
    DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
    Seungyoon Choi†, Wonjoong Kim†, Sungwon Kim, Yeonjun In, Sein Kim, and Chanyoung Park
    The Web Conference (WWW) (Oral), 2024
    PDF Code

2023

  1. NeurIPS
    Interpretable Prototype-based Graph Information Bottleneck
    Sangwoo Seo, Sungwon Kim, and Chanyoung Park
    In Conference on Neural Information Processing Systems (NeurIPS) (Gold Prize at the 2023 Samsung Humantech Paper Award), 2023
    PDF Code
  2. NeurIPS
    Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
    Namkyeong Lee†, Heewoong Noh†, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, and Chanyoung Park
    In Conference on Neural Information Processing Systems (NeurIPS), 2023
    PDF Code
  3. ICML Workshop
    Deep Single-cell RNA-seq data Clustering with Graph Prototypical Contrastive Learning
    Junseok Lee, Sungwon Kim, Dongmin Hyun, Namkyeong Lee, Yejin Kim, and Chanyoung Park
    ICML Workshop on Computational Biology (WCB 2023), 2023
    PDF Code
  4. Bioinformatics
    Deep Single-cell RNA-seq Data Clustering with Graph Prototypical Contrastive Learning
    Junseok Lee, Sungwon Kim, Dongmin Hyun, Namkyeong Lee, Yejin Kim, and Chanyoung Park
    Bioinformatics (SCI), 2023
    PDF Code
  5. KDD
    Task-Equivariant Graph Few-shot Learning
    Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, and Chanyoung Park
    In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
    PDF Code
  6. ICML
    Conditional Graph Information Bottleneck for Molecular Relational Learning
    Namkyeong Lee, Dongmin Hyun, Gyoung S Na, Sungwon Kim, Junseok Lee, and Chanyoung Park
    In International Conference on Machine Learning (ICML), 2023
    PDF Code
  7. ICLR Workshop
    Predicting Density of States via Multi-modal Transformer
    Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S Na, and Chanyoung Park
    In ICLR Workshop on Machine Learning for Materials (ML4Materials) , 2023
    PDF Code