Sunwoo Kim

According to our database, Sunwoo Kim authored at least 16 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multi-behavior Recommender Systems: A Survey.

Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, Kijung Shin

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

2024

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

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.

Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

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.

Sunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin

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.

Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi

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

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

Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin

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

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.

Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Dongyeong Hwang, Hyunju Kim, Sunwoo Kim, Kijung Shin

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

Towards Better Utilization of Multiple Views for Bundle Recommendation.

Kyungho Kim, Sunwoo Kim, Geon Lee, Kijung Shin

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

2023

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

Sunwoo Kim, Dongjin Lee, Yul Kim, Jungho Park, Taeho Hwang, Kijung Shin

Data Min. Knowl. Discov., November, 2023

Reciprocity in directed hypergraphs: measures, findings, and generators.

Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin

Data Min. Knowl. Discov., November, 2023

Four-set Hypergraphlets for Characterization of Directed Hypergraphs.

Heechan Moon, Hyunju Kim, Sunwoo Kim, Kijung Shin

CoRR, 2023

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

Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin

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

Classification of Edge-dependent Labels of Nodes in Hypergraphs.

Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin

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

2022

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

Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon, Won-Yong Shin

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