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Conference and Workshop Papers
- 2024
[c10]Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park:
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. CIKM 2024: 3012-3021- [c9]Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park:
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation. CVPR 2024: 28306-28316 - [c8]Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park:
Adaptive Self-training Framework for Fine-grained Scene Graph Generation. ICLR 2024 - [c7]Yeonjun In
, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park:
Self-Guided Robust Graph Structure Refinement. WWW 2024: 697-708 - 2023
- [c6]Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park:
Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network. AAAI 2023: 3285-3294 - [c5]Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park:
Class Label-aware Graph Anomaly Detection. CIKM 2023: 4008-4012 - [c4]Yeonjun In, Kanghoon Yoon, Chanyoung Park:
Similarity Preserving Adversarial Graph Contrastive Learning. KDD 2023: 867-878 - [c3]Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park:
Shift-Robust Molecular Relational Learning with Causal Substructure. KDD 2023: 1200-1212 - [c2]Kanghoon Yoon, Youngjun Im, Jingyu Choi, Taehwan Jeong, Jinkyoo Park:
Learning Multivariate Hawkes Process via Graph Recurrent Neural Network. KDD 2023: 5451-5462 - 2022
- [c1]Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
LTE4G: Long-Tail Experts for Graph Neural Networks. CIKM 2022: 2434-2443
Informal and Other Publications
- 2024
- [i10]Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park:
Adaptive Self-training Framework for Fine-grained Scene Graph Generation. CoRR abs/2401.09786 (2024) - [i9]Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park:
Self-Guided Robust Graph Structure Refinement. CoRR abs/2402.11837 (2024) - [i8]Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation. CoRR abs/2407.15396 (2024) - [i7]Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park:
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. CoRR abs/2407.19155 (2024) - 2023
- [i6]Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park:
Shift-Robust Molecular Relational Learning with Causal Substructure. CoRR abs/2305.18451 (2023) - [i5]Yeonjun In, Kanghoon Yoon, Chanyoung Park:
Similarity Preserving Adversarial Graph Contrastive Learning. CoRR abs/2306.13854 (2023) - [i4]Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park:
Class Label-aware Graph Anomaly Detection. CoRR abs/2308.11669 (2023) - [i3]Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park:
LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation. CoRR abs/2310.10404 (2023) - 2022
- [i2]Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
LTE4G: Long-Tail Experts for Graph Neural Networks. CoRR abs/2208.10205 (2022) - [i1]Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park:
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network. CoRR abs/2212.00443 (2022)
Coauthor Index
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