Taewook Ko

Orcid: 0000-0001-7248-4751

According to our database1, Taewook Ko authored at least 13 papers between 2021 and 2025.

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

Timeline

2021
2022
2023
2024
2025
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Legend:

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In proceedings 
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PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

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

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

A Graph Convolution for Signed Directed Graphs.
CoRR, 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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