PAC-Bayes 스펙트럼 최적화를 통해 쉬프 그래프 신경망을 학습시키기 위한 학습 장치, 학습 방법 및 기록 매체
Yoonhyuk Choi
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- Github University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
메시지 전달 기반 다중 클래스 그래프 신경망 학습 방법 및 이를 위한 다중 클래스 그래프 신경망 장치
Yoonhyuk Choi
Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Jongwook Kim, Chong-Kwon Kim
Sparse Bayesian Message Passing under Structural Uncertainty
Yoonhyuk Choi, Jiho Choi, Chanran Kim, Yumin Lee, Hawon Shin, Yeowon Jeon, Minjeong Kim, Jiwoo Kang
Gauge-Equivariant Graph Networks via Self-Interference Cancellation
Yoonhyuk Choi, Chong-Kwon Kim
Bias-aware Adaptive Loss for Sequential Recommendation
Yoonhyuk Choi, Chong-Kwon Kim
Learning Sheaf Graph Neural Networks with PAC-Bayesian Spectral Guarantees
Yoonhyuk Choi, Yumin Lee, Chanran Kim, Chong-Kwon Kim
Beyond Binary: Improving Signed Message Passing in Graph Neural Networks for Multi-Class Graphs
Yoonhyuk Choi, Taewook Ko, Jiho Choi, Chong-Kwon Kim
Hierarchical Hyperbolic Embeddings for Review-Driven Cross-Domain Recommendation
Yoonhyuk Choi, Chong-Kwon Kim
Identifying Heterophilic Neighbors via Confidence-based Subgraph Matching for Graph Neural Networks
Yoonhyuk Choi, Chong-Kwon Kim
Spectral and Uncertainty-Aware Selective Blocking in Message-Passing Neural Networks
Yoonhyuk Choi, Chong-Kwon Kim
Hierarchical and Uncertainty-Aware Graph Neural Networks for Heterophily and Robustness
Yoonhyuk Choi, Chanran Kim, Yumin Lee, Chong-Kwon Kim
Generalization of Knowledge Transfer with User Reviews for Cross-Domain Recommendation
Yoonhyuk Choi, Chong-Kwon Kim
Apparatus and Method of Processing Learning of Graph Neural Network by Using Adaptive Pass Filter
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
Recommendation System and Method for Performing Personalized Recommendation by Integrating Edge Information in Hyperbolic Space
Yoonhyuk Choi, Taewook Ko, Chong-Kwon Kim
Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs
Yoonhyuk Choi, Taewook Ko, Jiho Choi, Chong-Kwon Kim
Adaptive Branch Specialization in Spectral–Spatial Graph Neural Networks for Certified Robustness
Yoonhyuk Choi, Chong-Kwon Kim
Review-Based Hyperbolic Cross-Domain Recommendation
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
Mitigating Overfitting in Graph Neural Networks via Feature and Hyperplane Perturbation
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive Propagation
Yoonhyuk Choi, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
Beyond Message-Passing: Generalization of Graph Neural Networks via Feature Perturbation for Semi-supervised Node Classification
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Chong-Kwon Kim
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
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
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
A spectral graph convolution for signed directed graphs via magnetic laplacian
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim
Aspect-oriented unsupervised social link inference on user trajectory data
Hyungho Byun, Yoonhyuk Choi, Chong-Kwon Kim
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation
Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim
Dynamic graph convolutional networks with attention mechanism for rumor detection on social media
Jiho Choi, Taewook Ko, Yoonhyuk Choi, Hyungho Byun, Chong-Kwon Kim
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Teaching
Service and leadership
- Currently signed in to 43 different slack teams