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
Posts by Collection
publications
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation
CIKM 2022 ACM Conference on Information and Knowledge Management
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
CIKM 2022 ACM Conference on Information and Knowledge Management
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
UAI 2023 Conference on Uncertainty in Artificial Intelligence
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
CIKM 2024 (Benchmark) ACM Conference on Information and Knowledge Management
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
TNNLS 2024 IEEE Transactions on Neural Networks and Learning Systems
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation
Bigdata 2024 IEEE Big Data Conference
Yoonhyuk Choi, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation
WSDM 2025 ACM International Conference on Web Search and Data Mining
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
Review-Based Hyperbolic Cross-Domain Recommendation
WSDM 2025 ACM International Conference on Web Search and Data Mining
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
Adaptive Branch Specialization in Spectral–Spatial Graph Neural Networks for Certified Robustness
arXiv preprint
Yoonhyuk Choi, Chong-Kwon Kim
Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs
UAI 2025 Conference on Uncertainty in Artificial Intelligence
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) 10-2025-0137767
Yoonhyuk Choi, Taewook Ko, Chong-Kwon Kim
Apparatus and Method of Processing Learning of Graph Neural Network by Using Adaptive Pass Filter
KR) 10-2025-0140543
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
Yoonhyuk Choi, Chanran Kim, Yumin Lee, Chong-Kwon Kim
Spectral and Uncertainty-Aware Selective Blocking in Message-Passing Neural Networks
arXiv preprint
Yoonhyuk Choi, Chong-Kwon Kim
Identifying Heterophilic Neighbors via Confidence-based Subgraph Matching for Graph Neural Networks
arXiv preprint
Yoonhyuk Choi, Chong-Kwon Kim
메시지 전달 기반 다중 클래스 그래프 신경망 학습 방법 및 이를 위한 다중 클래스 그래프 신경망 장치
10-2025-0157978 (2025-10-28)
Yoonhyuk Choi
특징 행렬과 가중치 행렬의 동시 이동을 이용한 그래프 신경망 학습 장치, 시스템 및 이에서의 학습 방법
10-2025-0158294 (2025-10-28)
Yoonhyuk Choi
조건부 메시지 전달 제어를 통한 그래프 신경망의 학습 방법, 이를 위한 학습 장치 및 이를 포함하는 그래프 신경망 시스템
10-2025-0163421 (2025-11-3)
Yoonhyuk Choi
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
TPAMI 2025 IEEE Transactions on Pattern Analysis and Machine Intelligence
Yoonhyuk Choi, Taewook Ko, Jiho Choi, Chong-Kwon Kim
Learning Sheaf Graph Neural Networks with PAC-Bayesian Spectral Guarantees
arXiv preprint
Yoonhyuk Choi, Yumin Lee, Chanran Kim, Chong-Kwon Kim
PAC-Bayes 스펙트럼 최적화를 통해 쉬프 그래프 신경망을 학습시키기 위한 학습 장치, 학습 방법 및 기록 매체
10-2025-0212734 (2025-12-09)
Yoonhyuk Choi
Bias-aware Adaptive Loss for Sequential Recommendation
arXiv preprint
Yoonhyuk Choi, Chong-Kwon Kim
Gauge-Equivariant Graph Networks via Self-Interference Cancellation
arXiv preprint
Yoonhyuk Choi, Chong-Kwon Kim
Sparse Bayesian Message Passing under Structural Uncertainty
arXiv preprint
Yoonhyuk Choi, Jiho Choi, Chanran Kim, Yumin Lee, Hawon Shin, Yeowon Jeon, Minjeong Kim, Jiwoo Kang
Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
AAAI 2026 AAAI Conference on Artificial Intelligence
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Jongwook Kim, Chong-Kwon Kim
Delay-Aware Sequential Recommendation with Dynamic Graphs and Variate-Temporal Decomposition
SIGIR 2026 (short) ACM SIGIR Conference on Information Retrieval
Yoonhyuk Choi