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ORCIDSunwoo Kim 0006
Person information
- affiliation: KAIST, Seoul, South Korea
Other persons with the same name
- Sunwoo Kim (aka: Sun-Woo Kim) — disambiguation page
- Sunwoo Kim 0001
![[0000-0002-7055-6587]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7055-6587")
— Hanyang University, Seoul, Korea - Sunwoo Kim 0002 — Konkuk University, Korea
- Sunwoo Kim 0003 — Indiana University, Bloomington, IN, USA
- Sunwoo Kim 0004 — Seoul National University, Department of Electrical and Computer Engineering, Institute of New Media and Communications, South Korea
- Sunwoo Kim 0005 — Seoul National University, Research Institute of Human Ecology, South Korea
- Sunwoo Kim 0007 — Seoul National University, Department of Statistics, Seoul, South Korea
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2020 – today
- 2025
[c13]Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, Kijung Shin:
Multi-behavior Recommender Systems: A Survey. PAKDD (4) 2025: 435-452- [i13]Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, Kijung Shin:
Multi-Behavior Recommender Systems: A Survey. CoRR abs/2503.06963 (2025) - 2024
- [j3]Yong-Min Shin, Sun-Woo Kim, Won-Yong Shin:
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6559-6576 (2024) - [c12]Kyungho Kim, Sunwoo Kim, Geon Lee, Kijung Shin:
Towards Better Utilization of Multiple Views for Bundle Recommendation. CIKM 2024: 3827-3831 - [c11]Dongyeong Hwang, Hyunju Kim, Sunwoo Kim, Kijung Shin:
FlowerFormer: Empowering Neural Architecture Encoding Using a Flow-Aware Graph Transformer. CVPR 2024: 6128-6137 - [c10]Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin:
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs. ICLR 2024 - [c9]Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin:
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. ICML 2024 - [c8]Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi:
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. ICML 2024 - [c7]Jongha Lee, Sunwoo Kim, Kijung Shin:
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning. KDD 2024: 1506-1517 - [c6]Sunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin:
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. KDD 2024: 6534-6544 - [c5]Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin:
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy. NeurIPS 2024 - [i12]Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin:
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. CoRR abs/2402.04621 (2024) - [i11]Jongha Lee, Sunwoo Kim, Kijung Shin:
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning. CoRR abs/2402.11933 (2024) - [i10]Dongyeong Hwang, Hyunju Kim, Sunwoo Kim, Kijung Shin:
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer. CoRR abs/2403.12821 (2024) - [i9]Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin:
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs. CoRR abs/2404.00638 (2024) - [i8]Sunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin:
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. CoRR abs/2404.01039 (2024) - [i7]Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi:
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. CoRR abs/2405.20652 (2024) - [i6]Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin:
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy. CoRR abs/2410.20366 (2024) - 2023
- [j2]Sunwoo Kim, Dongjin Lee, Yul Kim, Jungho Park, Taeho Hwang, Kijung Shin:
Datasets, tasks, and training methods for large-scale hypergraph learning. Data Min. Knowl. Discov. 37(6): 2216-2254 (2023) - [j1]Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin:
Reciprocity in directed hypergraphs: measures, findings, and generators. Data Min. Knowl. Discov. 37(6): 2330-2388 (2023) - [c4]Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin:
Classification of Edge-dependent Labels of Nodes in Hypergraphs. KDD 2023: 298-309 - [c3]Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin:
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction. KDD 2023: 1132-1143 - [i5]Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin:
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction. CoRR abs/2306.02358 (2023) - [i4]Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin:
Classification of Edge-dependent Labels of Nodes in Hypergraphs. CoRR abs/2306.03032 (2023) - [i3]Heechan Moon, Hyunju Kim, Sunwoo Kim, Kijung Shin:
Four-set Hypergraphlets for Characterization of Directed Hypergraphs. CoRR abs/2311.14289 (2023) - 2022
- [c2]Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon, Won-Yong Shin:
Prototype-Based Explanations for Graph Neural Networks (Student Abstract). AAAI 2022: 13047-13048 - [c1]Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin:
Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators. ICDM 2022: 1005-1010 - [i2]Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin:
Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators. CoRR abs/2210.05328 (2022) - [i1]Yong-Min Shin, Sun-Woo Kim, Won-Yong Shin:
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks. CoRR abs/2210.17159 (2022)
Coauthor Index
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