Namkyeong Lee
9 papers · 2022–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🏆 Grand Slam
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Keyword Collector
(53)
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Unstoppable · Bronze
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Research topics
Machine Learning
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Deep Learning
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Architectures
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Core Methods
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Application Areas
(4)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Data Science & Analytics
(2)
Learning Paradigms
(2)
Natural Language Processing
(1)
Applications · Data Science & Analytics
(1)
Applications · Natural Language Processing
(1)
Core AI
(1)
Learning Types · Machine Learning
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Methods
(1)
Keywords
graph neural network
(4)
information bottleneck
(1)
spatial domain
(1)
graph learning
(1)
self-supervised learning
(1)
graph representation learning
(1)
computational efficiency
(1)
synthetic data generation
(1)
node classification
(1)
drug discovery
(1)
chemical reaction
(1)
retrieval-augmented generation
(1)
crystalline material
(1)
multimodal data
(1)
graph clustering
(1)
molecular property prediction
(1)
heterogeneous graph
(1)
density of state
(1)
multiplex network
(1)
domain generalization
(1)
Papers
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
AAAI 2026
Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
ICML 2025
Subgraph Federated Learning for Local Generalization
ICLR 2025
Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
ICML 2025
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
NeurIPS 2024
Conditional Graph Information Bottleneck for Molecular Relational Learning
ICML 2023
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
NeurIPS 2023
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis
AAAI 2023
Augmentation-Free Self-Supervised Learning on Graphs
AAAI 2022