Limei Wang
10 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(12)
π
Cross-Pollinator
(12)
π
Triple Crown
β
The Questioner
π
Century Club
(10)
Conferences
ICLR (3)
NIPS (3)
ICML (2)
EACL (1)
JMLR (1)
Top co-authors
Keywords
graph neural network
(5)
node classification
(2)
3d graph
(2)
graph generation
(1)
geometric deep learning
(1)
message passing
(1)
covariate shift
(1)
language model
(1)
equivariant graph neural network
(1)
molecular representation
(1)
molecular property prediction
(1)
concept shift
(1)
semantic retrieval
(1)
large-scale training
(1)
neighborhood explosion
(1)
feature momentum
(1)
momentum embedding
(1)
out-of-distribution learning
(1)
3d symmetry
(1)
domain generalization
(1)
Papers
How to Make LMs Strong Node Classifiers?
EACL 2026
Learning Graph Quantized Tokenizers
ICLR 2025
Geometry Informed Tokenization of Molecules for Language Model Generation
ICML 2025
Learning Hierarchical Protein Representations via Complete 3D Graph Networks
ICLR 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks
NIPS 2023
Spherical Message Passing for 3D Molecular Graphs
ICLR 2022
GOOD: A Graph Out-of-Distribution Benchmark
NIPS 2022
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
ICML 2022
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
NIPS 2022
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
JMLR 2021