Jaemin Yoo
10 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(8)
Architectures
(7)
Core Methods
(5)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(2)
Computer Vision
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Keywords
node classification
(5)
graph neural network
(4)
representation learning
(2)
graph convolution
(2)
anomaly detection
(1)
label propagation
(1)
zero-shot learning
(1)
graph anomaly detection
(1)
semi-supervised learning
(1)
self-supervised learning
(1)
attention mechanism
(1)
knowledge distillation
(1)
data-free distillation
(1)
graph representation
(1)
deep architecture
(1)
graph learning
(1)
reconstruction error
(1)
generative model
(1)
graph attention
(1)
belief propagation
(1)
Papers
A Probabilistic Circuit Framework for Interpretable Graph PU Learning
UAI 2026
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
AAAI 2026
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
ICML 2025
βHello, World!β: Making GNNs Talk with LLMs
EMNLP 2025
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
ICML 2024
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
ICLR 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
NeurIPS 2024
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
ICML 2023
Belief Propagation Network for Hard Inductive Semi-Supervised Learning
IJCAI 2019
Knowledge Extraction with No Observable Data
NeurIPS 2019