Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs
Uncertainty in Artifical Intelligence (UAI), 2025
Yoonhyuk Choi, Taewook Ko, Jiho Choi, Chong-Kwon Kim
Publications
You can also find my articles on my Google Scholar profile.
Conference Proceedings
Review-Based Hyperbolic Cross-Domain Recommendation
ACM International Conference on Web Search and Data Mining (WSDM), 2025
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
Perturbing Initial Features Improves Generalization of Message-Passing Neural Networks
ACM International Conference on Web Search and Data Mining (WSDM), 2025
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation
IEEE Big Data Conference, 2024
Yoonhyuk Choi, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
ACM Conference on Information and Knowledge Management (CIKM), Benchmark Track, 2024
Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K Selçuk Candan
Universal graph contrastive learning with a novel laplacian perturbation
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
ACM Conference on Information and Knowledge Management (CIKM), 2022
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation
ACM Conference on Information and Knowledge Management (CIKM), 2022
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim
Journal Articles
Beyond Binary: Improving Signed Message Passing in Graph Neural Networks for Multi-Class Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Yoonhyuk Choi, Taewook Ko, Jiho Choi, Chong-Kwon Kim
Beyond Message-Passing: Generalization of Graph Neural Networks via Feature Perturbation for Semi-supervised Node Classification
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
A spectral graph convolution for signed directed graphs via magnetic laplacian
Neural Networks, 2023
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
Aspect-oriented unsupervised social link inference on user trajectory data
Information Sciences, 2023
Hyungho Byun, Yoonhyuk Choi, Chong-Kwon Kim
Dynamic graph convolutional networks with attention mechanism for rumor detection on social media
Plos one, 2021
Jiho Choi, Taewook Ko, Yoonhyuk Choi, Hyungho Byun, Chong-Kwon Kim
Preprint
Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
arXiv preprint, 2025
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Jongwook Kim, Chong-Kwon Kim
Adaptive Branch Specialization in Spectral–Spatial Graph Neural Networks for Certified Robustness
arXiv preprint, 2025
Yoonhyuk Choi, Jiho Choi, Chong-Kwon Kim
Hierarchical Uncertainty-Aware Graph Neural Networks
arXiv preprint, 2025
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim