Sungwon Kim

Orcid: 0000-0001-8605-2618

Affiliations:
  • KAIST, Daejeon, Republic of Korea


According to our database1, Sungwon Kim authored at least 11 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Disentangling Hyperedges through the Lens of Category Theory.
CoRR, October, 2025

Subgraph Federated Learning for Local Generalization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning.
Proceedings of the ACM on Web Conference 2024, 2024

Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unsupervised Episode Generation for Graph Meta-learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Predicting Density of States via Multi-modal Transformer.
CoRR, 2023

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning.
Bioinform., 2023

Interpretable Prototype-based Graph Information Bottleneck.
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.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Conditional Graph Information Bottleneck for Molecular Relational Learning.
Proceedings of the International Conference on Machine Learning, 2023


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