Hyeonsoo Jo

11 papers A* 2A 1Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications.
KDD (1)
Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin
2025 J jnl
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications.
CoRR
Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin
2025 J jnl
TiGer: Self-Supervised Purification for Time-evolving Graphs.
CoRR
Hyeonsoo Jo, Jongha Lee, Fanchen Bu, Kijung Shin
2025 — conf
TiGer: Self-supervised Purification for Time-Evolving Graphs.
PAKDD (2)
Hyeonsoo Jo, Jongha Lee, Fanchen Bu, Kijung Shin
2024 A* conf
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More.
ICML
Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin
2024 J jnl
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More.
CoRR
Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee, Sungsoo Ahn, Kijung Shin
2023 A conf
Robust Graph Clustering via Meta Weighting for Noisy Graphs.
CIKM
Hyeonsoo Jo, Fanchen Bu, Kijung Shin
2023 J jnl
Robust Graph Clustering via Meta Weighting for Noisy Graphs.
CoRR
Hyeonsoo Jo, Fanchen Bu, Kijung Shin
2020 A* conf
SSumM: Sparse Summarization of Massive Graphs.
KDD
Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin
2020 J jnl
SSumM: Sparse Summarization of Massive Graphs.
CoRR
Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin
2019 — conf
Basis Learning Autoencoders for Hybrid Collaborative Filtering in Cold Start Setting.
MLSP
Kiwon Lee, Hyeonsoo Jo, Hyoji Kim, Yong H. Lee