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 | 50 | 2021 |
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation Y Choi, J Choi, T Ko, H Byun, C Kim Proceedings of the 31st ACM International Conference on Information …, 2022 | 13 | 2022 |
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification Y Choi, J Choi, T Ko, H Byun, C Kim Proceedings of the 31st ACM International Conference on Information …, 2022 | 10 | 2022 |
A spectral graph convolution for signed directed graphs via magnetic laplacian T Ko, Y Choi, CK Kim Neural Networks 164, 562-574, 2023 | 6 | 2023 |
Aspect-oriented unsupervised social link inference on user trajectory data H Byun, Y Choi, CK Kim Information Sciences 626, 249-261, 2023 | 6 | 2023 |
Universal graph contrastive learning with a novel laplacian perturbation T Ko, Y Choi, CK Kim Uncertainty in Artificial Intelligence, 1098-1108, 2023 | 5 | 2023 |
Improving Signed Propagation of Graph Neural Network Under Multiple Classes Y Choi, J Choi, T Ko, CK Kim arXiv preprint arXiv:2301.08918, https://arxiv.org/pdf/2301.08918.pdf, 2023 | 4* | 2023 |
Based Cross-Domain Recommendation via Hyperbolic Embedding and Hierarchy-Aware Domain Disentanglement Y Choi arXiv preprint arXiv:2403.20298, 2024 | 1 | 2024 |
Signed Directed Graph Contrastive Learning with Laplacian Augmentation T Ko, Y Choi, CK Kim arXiv preprint arXiv:2301.05163, 2023 | 1 | 2023 |
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 |
Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation Y Choi, R Shah, J Sabo, KS Candan, H Liu arXiv preprint arXiv:2406.05578, 2024 | | 2024 |
Flip Initial Features: Generalization of Neural Networks for Semi-supervised Node Classification Y Choi, C Jiho, K Taewook, CK Kim arXiv preprint arXiv:2211.15081, 2023 | | 2023 |