Yoonhyuk Choi - RankMe

32 papers A* 2A 7B 2Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization. AAAI Yoonhyuk Choi, Jiho Choi, Taewook Ko, JongWook Kim, Chong-Kwon Kim
2026	J	`jnl`	Sparse Bayesian Message Passing under Structural Uncertainty. CoRR Yoonhyuk Choi, Jiho Choi, Chanran Kim, Yumin Lee, Hawon Shin, Yeowon Jeon, Minjeong Kim, Jiwoo Kang
2025	J	`jnl`	Beyond Binary: Improving Signed Message Passing in Graph Neural Networks for Multi-Class Graphs. IEEE Trans. Pattern Anal. Mach. Intell. Yoonhyuk Choi, Taewook Ko, Jiho Choi, Chong-Kwon Kim
2025	J	`jnl`	Beyond Message-Passing: Generalization of Graph Neural Networks via Feature Perturbation for Semi-Supervised Node Classification. IEEE Trans. Neural Networks Learn. Syst. Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
2025	J	`jnl`	Gauge-Equivariant Graph Networks via Self-Interference Cancellation. CoRR Yoonhyuk Choi, Chong-Kwon Kim
2025	J	`jnl`	Generalization of Knowledge Transfer With User Reviews for Cross-Domain Recommendation. IEEE Access Yoonhyuk Choi, Chong-Kwon Kim
2025	J	`jnl`	Hierarchical Hyperbolic Embeddings for Review-Driven Cross-Domain Recommendation. IEEE Access Yoonhyuk Choi, Chong-Kwon Kim
2025	J	`jnl`	Hierarchical Uncertainty-Aware Graph Neural Network. CoRR Yoonhyuk Choi, Chong-Kwon Kim
2025	A	`conf`	Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation. WSDM Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
2025	A	`conf`	Review-Based Hyperbolic Cross-Domain Recommendation. WSDM Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
2025	A	`conf`	Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs. UAI Yoonhyuk Choi, Taewook Ko, Jiho Choi, Chong-Kwon Kim
2025	J	`jnl`	Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization. CoRR Yoonhyuk Choi, Jiho Choi, Chong-Kwon Kim
2025	J	`jnl`	SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness. CoRR Yoonhyuk Choi, Chong-Kwon Kim
2024	J	`jnl`	Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks. CoRR Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
2024	B	`conf`	Improving the Text Convolution Mechanism with Large Language Model for Review-Based Recommendation. IEEE Big Data Yoonhyuk Choi, Fahim Tasneema Azad
2024	A	`conf`	Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning. CIKM Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan
2024	J	`jnl`	Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning. CoRR Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan
2024	—	`conf`	Precipitation Nowcasting with Graph Neural Network and Gated Recurrent Units. ICOIN Soobin Park, Yoonhyuk Choi, Chong-Kwon Kim
2024	B	`conf`	Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation. IEEE Big Data Yoonhyuk Choi, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
2024	J	`jnl`	Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation. CoRR Yoonhyuk Choi, Reepal Shah, John Sabo, K. Selcuk Candan, Huan Liu
2024	J	`jnl`	Review-Based Cross-Domain Recommendation via Hyperbolic Embedding and Hierarchy-Aware Domain Disentanglement. CoRR Yoonhyuk Choi
2023	J	`jnl`	A spectral graph convolution for signed directed graphs via magnetic Laplacian. Neural Networks Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
2023	J	`jnl`	Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification. CoRR Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
2023	J	`jnl`	Is Signed Message Essential for Graph Neural Networks? CoRR Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
2023	J	`jnl`	Signed Directed Graph Contrastive Learning with Laplacian Augmentation. CoRR Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
2023	A	`conf`	Universal Graph Contrastive Learning with a Novel Laplacian Perturbation. UAI Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
2022	A*	`conf`	DiVa: An Accelerator for Differentially Private Machine Learning. MICRO Beomsik Park, Ranggi Hwang, Dongho Yoon, Yoonhyuk Choi, Minsoo Rhu
2022	J	`jnl`	DiVa: An Accelerator for Differentially Private Machine Learning. CoRR Beomsik Park, Ranggi Hwang, Dongho Yoon, Yoonhyuk Choi, Minsoo Rhu
2022	A	`conf`	Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification. CIKM Yoonhyuk Choi, Jiho Choi, Taewook Ko, HyungHo Byun, Chong-Kwon Kim
2022	J	`jnl`	Flip Initial Features: Generalization of Neural Networks for Semi-supervised Node Classification. CoRR Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
2022	A	`conf`	Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation. CIKM Yoonhyuk Choi, Jiho Choi, Taewook Ko, HyungHo Byun, Chong-Kwon Kim
2021	J	`jnl`	DaRE: A Cross-Domain Recommender System with Domain-aware Feature Extraction and Review Encoder. CoRR Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chongkwon Kim