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publications
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
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
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
Aspect-oriented unsupervised social link inference on user trajectory data
Information Sciences, 2023
Hyungho Byun, Yoonhyuk Choi, Chong-Kwon Kim
A spectral graph convolution for signed directed graphs via magnetic laplacian
Neural Networks, 2023
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
Universal graph contrastive learning with a novel laplacian perturbation
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
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
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
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
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
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
Adaptive Branch Specialization in Spectral–Spatial Graph Neural Networks for Certified Robustness
arXiv preprint, 2025
Yoonhyuk Choi, Chong-Kwon Kim
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
Recommendation System and Method for Performing Personalized Recommendation by Integrating Edge Information in Hyperbolic Space
KR) 10-2024-0180913, 2025
Yoonhyuk Choi, Taewook Ko, Chong-Kwon Kim
Apparatus and Method of Processing Learning of Graph Neural Network by Using Adaptive Pass Filter
KR) 10-2024-0180912, 2025
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
Generalization of Knowledge Transfer with User Reviews for Cross-Domain Recommendation
IEEE Access, 2025
Yoonhyuk Choi, Chong-Kwon Kim
Hierarchical and Uncertainty-Aware Graph Neural Networks for Heterophily and Robustness
arXiv preprint, 2025
Yoonhyuk Choi, Chanran Kim, Yumin Lee, Chong-Kwon Kim
Spectral and Uncertainty-Aware Selective Blocking in Message-Passing Neural Networks
arXiv preprint, 2025
Yoonhyuk Choi, Chong-Kwon Kim
Identifying Heterophilic Neighbors via Confidence-based Subgraph Matching for Graph Neural Networks
arXiv preprint, 2025
Yoonhyuk Choi, Chong-Kwon Kim
Hierarchical Hyperbolic Embeddings for Review-Driven Cross-Domain Recommendation
IEEE Access, 2025
Yoonhyuk Choi, Chong-Kwon Kim
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
Learning Sheaf Graph Neural Networks with PAC-Bayesian Spectral Guarantees
arXiv preprint, 2025
Yoonhyuk Choi, Yumin Lee, Chanran Kim, Chong-Kwon Kim
Bias-aware Adaptive Loss for Sequential Recommendation
arXiv preprint, 2026
Yoonhyuk Choi, Chong-Kwon Kim
Gauge-Equivariant Graph Networks via Self-Interference Cancellation
arXiv preprint, 2026
Yoonhyuk Choi, Chong-Kwon Kim
Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
Association for the Advancement of Artificial Intelligence (AAAI), 2026
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Jongwook Kim, Chong-Kwon Kim
메시지 전달 기반 다중 클래스 그래프 신경망 학습 방법 및 이를 위한 다중 클래스 그래프 신경망 장치
KR) 10-2025-0157978, 2026
Yoonhyuk Choi
특징 행렬과 가중치 행렬의 동시 이동을 이용한 그래프 신경망 학습 장치, 시스템 및 이에서의 학습 방법
KR) 10-2025-0158294, 2026
Yoonhyuk Choi
조건부 메시지 전달 제어를 통한 그래프 신경망의 학습 방법, 이를 위한 학습 장치 및 이를 포함하는 그래프 신경망 시스템
KR) 10-2025-0163421, 2026
Yoonhyuk Choi