LTE4G: Long-Tail Experts for Graph Neural Networks. - Sukwon Yun; Kibum Kim; Kanghoon Yoon; Chanyoung Park 001 (CIKM, 2022)

Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network. - Kanghoon Yoon; Kibum Kim; Jinyoung Moon; Chanyoung Park 001 (AAAI, 2023)

Class Label-aware Graph Anomaly Detection. - Junghoon Kim; Yeonjun In; Kanghoon Yoon; Junmo Lee; Chanyoung Park 001 (CIKM, 2023)

Similarity Preserving Adversarial Graph Contrastive Learning. - Yeonjun In; Kanghoon Yoon; Chanyoung Park 001 (KDD, 2023)

Shift-Robust Molecular Relational Learning with Causal Substructure. - Namkyeong Lee; Kanghoon Yoon; Gyoung S. Na; Sein Kim; Chanyoung Park 001 (KDD, 2023)

Learning Multivariate Hawkes Process via Graph Recurrent Neural Network. - Kanghoon Yoon; Youngjun Im; Jingyu Choi; Taehwan Jeong; Jinkyoo Park (KDD, 2023)

LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation. - Kibum Kim; Kanghoon Yoon; Jaehyeong Jeon; Yeonjun In; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (CoRR, 2023)

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. - Kanghoon Yoon; Yeonjun In; Namkyeong Lee; Kibum Kim; Chanyoung Park 001 (CIKM, 2024)

LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation. - Kibum Kim; Kanghoon Yoon; Jaehyeong Jeon; Yeonjun In; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (CVPR, 2024)

Semantic Diversity-Aware Prototype-Based Learning for Unbiased Scene Graph Generation. - Jaehyeong Jeon; Kibum Kim; Kanghoon Yoon; Chanyoung Park 001 (ECCV (68), 2024)

Adaptive Self-training Framework for Fine-grained Scene Graph Generation. - Kibum Kim; Kanghoon Yoon; Yeonjun In; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (ICLR, 2024)

Self-Guided Robust Graph Structure Refinement. - Yeonjun In; Kanghoon Yoon; Kibum Kim; Kijung Shin; Chanyoung Park 001 (WWW, 2024)

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. - Kanghoon Yoon; Kibum Kim; Jaehyung Jeon; Yeonjun In; Donghyun Kim 006; Chanyoung Park 001 (CoRR, 2024)

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. - Kanghoon Yoon; Kibum Kim; Jaehyeong Jeon; Yeonjun In; Donghyun Kim; Chanyoung Park 001 (AAAI, 2025)

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision. - Kibum Kim; Kanghoon Yoon; Yeonjun In; Jaehyeong Jeon; Jinyoung Moon; Donghyun Kim; Chanyoung Park 001 (ICLR, 2025)

Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness. - Junghoon Kim; Junmo Lee; Yeonjun In; Kanghoon Yoon; Chanyoung Park 001 (WSDM, 2025)

Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models. - Yeonjun In; Wonjoong Kim; Kanghoon Yoon; Sungchul Kim; Md. Mehrab Tanjim; Kibum Kim; Chanyoung Park 001 (CoRR, 2025)

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision. - Kibum Kim; Kanghoon Yoon; Yeonjun In; Jaehyeong Jeon; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (CoRR, 2025)

Training Robust Graph Neural Networks by Modeling Noise Dependencies. - Yeonjun In; Kanghoon Yoon; Sukwon Yun; Kibum Kim; Sungchul Kim; Chanyoung Park 001 (CoRR, 2025)

Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems. - Kibum Kim; Sein Kim; Hongseok Kang; Jiwan Kim; Heewoong Noh; Yeonjun In; Kanghoon Yoon; Jinoh Oh; Chanyoung Park 001 (CoRR, 2025)