Limei Wang
10 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (19)
π
Triple Crown
π
Century Club Β· Bronze
β
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(7)
Architectures
(7)
Artificial Intelligence
(5)
Core AI
(4)
Application Areas
(3)
Learning Types
(3)
Optimization & Theory
(3)
Core Methods
(2)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Generation
(1)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
graph neural network
(6)
3d graph
(2)
self-supervised learning
(2)
language model
(2)
molecular property prediction
(2)
node classification
(2)
message passing
(2)
protein representation
(1)
covariate shift
(1)
vector quantization
(1)
hierarchical model
(1)
graph transformer
(1)
equivariant graph neural network
(1)
molecular representation
(1)
protein structure
(1)
concept shift
(1)
semantic retrieval
(1)
large-scale training
(1)
neighborhood explosion
(1)
feature momentum
(1)
Papers
How to Make LMs Strong Node Classifiers?
EACL 2026
Geometry Informed Tokenization of Molecules for Language Model Generation
ICML 2025
Learning Graph Quantized Tokenizers
ICLR 2025
A new perspective on building efficient and expressive 3D equivariant graph neural networks
NeurIPS 2023
Learning Hierarchical Protein Representations via Complete 3D Graph Networks
ICLR 2023
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
NeurIPS 2022
GOOD: A Graph Out-of-Distribution Benchmark
NeurIPS 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
ICML 2022
Spherical Message Passing for 3D Molecular Graphs
ICLR 2022
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
JMLR 2021