User-Friendly Support Environment for Requirement Analysis in User Interface Design. - Seongjun Yun; Minseok Pang; Hongjin Cho; Jongho Chae; Yoonjung Choi; Eun-Seok Lee 001 (ICPP Workshops, 1999)

Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering. - Jinhyuk Lee; Seongjun Yun; Hyunjae Kim; Miyoung Ko; Jaewoo Kang (EMNLP, 2018)

Graph Transformer Networks. - Seongjun Yun; Minbyul Jeong; Raehyun Kim; Jaewoo Kang; Hyunwoo J. Kim (NeurIPS, 2019)

SAIN: Self-Attentive Integration Network for Recommendation. - Seongjun Yun; Raehyun Kim; Miyoung Ko; Jaewoo Kang (SIGIR, 2019)

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction. - Seongjun Yun; Seoyoon Kim; Junhyun Lee; Jaewoo Kang; Hyunwoo J. Kim (NeurIPS, 2021)

DyGRAIN: An Incremental Learning Framework for Dynamic Graphs. - Seoyoon Kim; Seongjun Yun; Jaewoo Kang (IJCAI, 2022)

Graph Transformer Networks: Learning meta-path graphs to improve GNNs. - Seongjun Yun; Minbyul Jeong; Sungdong Yoo; Seunghun Lee 001; Sean S. Yi; Raehyun Kim; Jaewoo Kang; Hyunwoo J. Kim (Neural Networks, 2022)

The impact of high arousal and displeasure on online review helpfulness: Exploring the moderating role of product involvement. - Seongjun Yun; So Young Jun; Jong Woo Kim (Electron. Commer. Res. Appl., 2024)

Self-supervised Multimodal Graph Convolutional Network for collaborative filtering. - Sungjune Kim; Seongjun Yun; Jongwuk Lee; Gyusam Chang; Wonseok Roh; Dae-Neung Sohn; Jung-Tae Lee; Hogun Park; Sangpil Kim (Inf. Sci., 2024)

Deformable Graph Transformer. - Jinyoung Park; Seongjun Yun; Hyeon-Jin Park; Jaewoo Kang; Jisu Jeong; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Dynamic Mixture-of-Experts for Incremental Graph Learning. - Lecheng Kong; Theodore Vasiloudis; Seongjun Yun; Han Xie; Xiang Song 003 (CoRR, 2025)