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 (CIKM, 2023)

Towards Deep Attention in Graph Neural Networks: Problems and Remedies. - Soo Yong Lee; Fanchen Bu; Jaemin Yoo; Kijung Shin (ICML, 2023)

Prediction Is NOT Classification: On Formulation and Evaluation of Hyperedge Prediction. - Taehyung Yu; Soo Yong Lee; Hyunjin Hwang; Kijung Shin (ICDM (Workshops), 2024)

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs. - Sunwoo Kim 006; Shinhwan Kang; Fanchen Bu; Soo Yong Lee; Jaemin Yoo; Kijung Shin (ICLR, 2024)

Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More. - Fanchen Bu; Hyeonsoo Jo; Soo Yong Lee; Sungsoo Ahn; Kijung Shin (ICML, 2024)

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. - Soo Yong Lee; Sunwoo Kim 006; Fanchen Bu; Jaemin Yoo; Jiliang Tang; Kijung Shin (ICML, 2024)

A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. - Sunwoo Kim 006; Soo Yong Lee; Yue Gao 002; Alessia Antelmi; Mirko Polato; Kijung Shin (KDD, 2024)

Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy. - Sunwoo Kim 006; Soo Yong Lee; Fanchen Bu; Shinhwan Kang; Kyungho Kim; Jaemin Yoo; Kijung Shin (NeurIPS, 2024)

VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation. - Geon Lee; Soo Yong Lee; Kijung Shin (WWW, 2024)

On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications. - Hyeonsoo Jo; Hyunjin Hwang; Fanchen Bu; Soo Yong Lee; Chanyoung Park 001; Kijung Shin (KDD (1), 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, 2025)

'Hello, World!': Making GNNs Talk with LLMs. - Sunwoo Kim; Soo Yong Lee; Jaemin Yoo; Kijung Shin (CoRR, 2025)