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Taewook Ko
Taewook Ko
在 snu.ac.kr 的电子邮件经过验证
标题
引用次数
引用次数
年份
Dynamic graph convolutional networks with attention mechanism for rumor detection on social media
J Choi, T Ko, Y Choi, H Byun, C Kim
Plos one 16 (8), e0256039, 2021
542021
Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation
Y Choi, J Choi, T Ko, H Byun, CK Kim
Proceedings of the 31st ACM International Conference on Information …, 2022
152022
A spectral graph convolution for signed directed graphs via magnetic Laplacian
T Ko, Y Choi, CK Kim
Neural Networks 164, 562-574, 2023
11*2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
Y Choi, J Choi, T Ko, H Byun, CK Kim
Proceedings of the 31st ACM International Conference on Information …, 2022
112022
Universal Graph Contrastive Learning with a Novel Laplacian Perturbation
T Ko, Y Choi, CK Kim
Uncertainty in Artificial Intelligence, 1098-1108, 2023
7*2023
Is Signed Message Essential for Graph Neural Networks?
Y Choi, J Choi, T Ko, CK Kim
arXiv preprint arXiv:2301.08918, 2023
42023
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks
Y Choi, J Choi, T Ko, CK Kim
arXiv preprint arXiv:2408.04895, 2024
2024
Design of User Behavior-aware Video Chunk Caching Strategy at Network Edge
AH Lee, T Ko, CK Kim
2024 Fifteenth International Conference on Ubiquitous and Future Networks …, 2024
2024
Improving Signed Propagation for Graph Neural Networks
Y Choi, J Choi, T Ko, CK Kim
arXiv preprint arXiv:2301.08918, 2023
2023
Perturb Initial Features: Generalization of Neural Networks Under Sparse Features for Semi-supervised Node Classification
Y Choi, J Choi, T Ko, CK Kim
arXiv preprint arXiv:2211.15081, 2022
2022
Flip Initial Features: Generalization of Neural Networks for Semi-supervised Node Classification.
Y Choi, J Choi, T Ko, CK Kim
CoRR, 2022
2022
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