Soo Yong Lee

According to our database, Soo Yong Lee authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption.

Sunwoo Kim, Soo Yong Lee, Kyungho Kim, Hyunjin Hwang, Jaemin Yoo, Kijung Shin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Emergence of psychopathological computations in large language models.

Soo Yong Lee, Hyunjin Hwang, Taekwan Kim, Yuyeong Kim, Kyuri Park, Jaemin Yoo, Denny Borsboom, Kijung Shin

CoRR, April, 2025

On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications.

Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

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

Sunwoo Kim, Soo Yong Lee, Jaemin Yoo, Kijung Shin

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.

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

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

2024

VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation.

Geon Lee, Soo Yong Lee, Kijung Shin

Proceedings of the ACM on Web Conference 2024, 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 37: Annual Conference on Neural Information Processing Systems 2024, 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

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

Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More.

Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, 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

Prediction Is NOT Classification: On Formulation and Evaluation of Hyperedge Prediction.

Taehyung Yu, Soo Yong Lee, Hyunjin Hwang, Kijung Shin

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Towards Deep Attention in Graph Neural Networks: Problems and Remedies.

Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin

Proceedings of the International Conference on Machine Learning, 2023

You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark.

Soo Yong Lee, Juwon Kim, Kiwoong Park, Dong Kuk Ryu, Sang Heun Shim, Kijung Shin

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023