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Soo Yong Lee
ORCID
Publication Activity (10 Years)
Years Active: 2023-2024
Publications (10 Years): 10
Top Topics
Combinatorial Optimization
Step By Step Guide
Neural Network
Label Propagation
Top Venues
CoRR
KDD
ICLR
CIKM
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Publications
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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
(2024)
Sunwoo Kim
,
Shinhwan Kang
,
Fanchen Bu
,
Soo Yong Lee
,
Jaemin Yoo
,
Kijung Shin
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.
CoRR
(2024)
Geon Lee
,
Soo Yong Lee
,
Kijung Shin
VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation.
WWW
(2024)
Fanchen Bu
,
Hyeonsoo Jo
,
Soo Yong Lee
,
Sungsoo Ahn
,
Kijung Shin
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More.
CoRR
(2024)
Sunwoo Kim
,
Shinhwan Kang
,
Fanchen Bu
,
Soo Yong Lee
,
Jaemin Yoo
,
Kijung Shin
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.
ICLR
(2024)
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
(2024)
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)
Soo Yong Lee
,
Fanchen Bu
,
Jaemin Yoo
,
Kijung Shin
Towards Deep Attention in Graph Neural Networks: Problems and Remedies.
CoRR
(2023)
Soo Yong Lee
,
Juwon Kim
,
Kiwoong Park
,
Dong Kuk Ryu
,
Sang Heun Shim
,
Kijung Shin
You're Not Alone in Battle: Combat Threat Analysis Using Attention Networks and a New Open Benchmark.
CIKM
(2023)
Soo Yong Lee
,
Fanchen Bu
,
Jaemin Yoo
,
Kijung Shin
Towards Deep Attention in Graph Neural Networks: Problems and Remedies.
ICML
(2023)