2024 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), 2024 2023 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 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 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 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 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 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 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