Taewook Ko

According to our database, Taewook Ko authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A spectral graph convolution for signed directed graphs via magnetic Laplacian.

Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim

Neural Networks, July, 2023

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

Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim

CoRR, 2023

Is Signed Message Essential for Graph Neural Networks?

Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim

CoRR, 2023

Signed Directed Graph Contrastive Learning with Laplacian Augmentation.

Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim

CoRR, 2023

Universal Graph Contrastive Learning with a Novel Laplacian Perturbation.

Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

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

Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim

CoRR, 2022

A Graph Convolution for Signed Directed Graphs.

Taewook Ko

CoRR, 2022

Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation.

Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim

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.

Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim

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.

Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chongkwon Kim

CoRR, 2021