Sunwoo Kim

Orcid: 0009-0006-6002-169X

Affiliations:

KAIST, Seoul, South Korea

According to our database¹, Sunwoo Kim authored at least 25 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

A comprehensive survey on multi-behavior recommender systems: extended taxonomy and recent advances.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., December, 2026

Four-Set Hypergraphlets for Characterization of Directed Hypergraphs.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2026

Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation.

[BibT_eX]

[DOI]

Sunwoo Kim

Hyunjin Hwang

Kijung Shin

Proceedings of the ACM Web Conference 2026, 2026

Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation.

[BibT_eX]

[DOI]

CoRR, November, 2025

Multi-behavior Recommender Systems: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding.

[BibT_eX]

[DOI]

Sunwoo Kim

Hyunjin Hwang

Kijung Shin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

'Hello, World!': Making GNNs Talk with LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks.

[BibT_eX]

[DOI]

Yong-Min Shin

Sun-Woo Kim

Won-Yong Shin

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning.

[BibT_eX]

[DOI]

Jongha Lee

Sunwoo Kim

Kijung Shin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FlowerFormer: Empowering Neural Architecture Encoding Using a Flow-Aware Graph Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Better Utilization of Multiple Views for Bundle Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Datasets, tasks, and training methods for large-scale hypergraph learning.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., November, 2023

How Transitive Are Real-World Group Interactions? - Measurement and Reproduction.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Classification of Edge-dependent Labels of Nodes in Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Prototype-Based Explanations for Graph Neural Networks (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Sunwoo Kim

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...