Preprint
Conference Paper
LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation [pdf], [code]
Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)
Self-guided Robust Graph Structure Refinement [pdf], [code]
Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park
The 2024 ACM Web Conference (Oral) (WWW 2024)
Adaptive Self-training Framework for Fine-grained Scene Graph Generation [pdf], [code]
Kibum Kim*, Kanghoon Yoon*, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
The Twelfth International Conference on Learning Representations (ICLR 2024)
Class Label-aware Graph Anomaly Detection [pdf], [code]
Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park
ACM International Conference on Information and Knowledge Management. Short paper. (CIKM-23)
Similarity Preserving Adversarial Graph Contrastive Learning. [pdf], [code]
Yeonjun In*, Kanghoon Yoon*, Chanyoung Park.
29th ACM SIGKDD Conference on KDD. Research Track. (KDD’23)
Shift-Robust Molecular Relational Learning with Causal Substructure. [pdf], [code]
Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park.
29th ACM SIGKDD Conference on KDD. Research Track. (KDD’23)
Learning Multivariate Hawkes Process via Graph Recurrent Neural Network. [pdf], [code]
Kanghoon Yoon*. Youngjun Im*. Jingyu Choi, Taehwan Jeong, Jinkyoo Park.
29th ACM SIGKDD Conference on KDD. Applied Data Science Track. (KDD’23)
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network. [pdf], [code]
Kanghoon Yoon*, Kibum Kim*, Jinyoung Moon, Chanyoung Park.
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23)
LTE4G: Long-Tail Experts for Graph Neural Networks. [pdf], [code]
Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park.
ACM International Conference on Information and Knowledge Management (CIKM-22)