Sungwon Kim

According to our database, Sungwon Kim authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

2024

DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning.

Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park

CoRR, 2024

2023

Unsupervised Episode Generation for Graph Meta-learning.

Jihyeong Jung, Sangwoo Seo, Sungwon Kim, 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

Interpretable Prototype-based Graph Information Bottleneck.

Sangwoo Seo, Sungwon Kim, Chanyoung Park

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

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