Yoonhyuk Choi

Orcid: 0000-0003-4359-5596

According to our database1, Yoonhyuk Choi authored at least 22 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Beyond Message-Passing: Generalization of Graph Neural Networks via Feature Perturbation for Semi-Supervised Node Classification.
IEEE Trans. Neural Networks Learn. Syst., June, 2025

SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness.
CoRR, May, 2025

Hierarchical Uncertainty-Aware Graph Neural Network.
CoRR, April, 2025

Review-Based Hyperbolic Cross-Domain Recommendation.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks.
CoRR, 2024

Review-Based Cross-Domain Recommendation via Hyperbolic Embedding and Hierarchy-Aware Domain Disentanglement.
CoRR, 2024

Precipitation Nowcasting with Graph Neural Network and Gated Recurrent Units.
Proceedings of the International Conference on Information Networking, 2024

Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation.
Proceedings of the IEEE International Conference on Big Data, 2024

Improving the Text Convolution Mechanism with Large Language Model for Review-Based Recommendation.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
A spectral graph convolution for signed directed graphs via magnetic Laplacian.
Neural Networks, July, 2023

Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification.
CoRR, 2023

Is Signed Message Essential for Graph Neural Networks?
CoRR, 2023

Signed Directed Graph Contrastive Learning with Laplacian Augmentation.
CoRR, 2023

Universal Graph Contrastive Learning with a Novel Laplacian Perturbation.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022
Flip Initial Features: Generalization of Neural Networks for Semi-supervised Node Classification.
CoRR, 2022

DiVa: An Accelerator for Differentially Private Machine Learning.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
DaRE: A Cross-Domain Recommender System with Domain-aware Feature Extraction and Review Encoder.
CoRR, 2021


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