Kanghoon Yoon

According to our database, Kanghoon Yoon authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Self-Guided Robust Graph Structure Refinement.

Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park

CoRR, 2024

Adaptive Self-training Framework for Fine-grained Scene Graph Generation.

Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park

CoRR, 2024

2023

LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation.

Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park

CoRR, 2023

Learning Multivariate Hawkes Process via Graph Recurrent Neural Network.

Kanghoon Yoon, Youngjun Im, Jingyu Choi, Taehwan Jeong, Jinkyoo Park

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Shift-Robust Molecular Relational Learning with Causal Substructure.

Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Similarity Preserving Adversarial Graph Contrastive Learning.

Yeonjun In, Kanghoon Yoon, Chanyoung Park

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Class Label-aware Graph Anomaly Detection.

Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network.

Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

LTE4G: Long-Tail Experts for Graph Neural Networks.

Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022