Publication

Preprint

Conference Paper

2025

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision.
Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park.
The Thirteenth International Conference on Learning Representations (ICLR 2025)

Retrieval‑Augmented Scene Graph Generation via Multi‑Prototype Learning.
Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park.
Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25)

Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness [pdf], [code]
Junghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park
The 18th ACM International Conference on Web Search and Data Mining (WSDM 2025)

2024

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective [pdf], [code]
Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park
ACM International Conference on Information and Knowledge Management (CIKM 2024)

Semantic Diversity-aware Prototye-based Learning for Unbiased Scene Graph Generation [pdf], [code]
Jaehyung Jeon, Kibum Kim, Kanghoon Yoon, Chanyoung Park
The 18th European Conference on Computer Vision (ECCV 2024)

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)

2023

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 2023)

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)

2022

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)