Yeonjun In

According to our database, Yeonjun In authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning.

Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park

CoRR, 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

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

2022

GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment.

Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022