Dingshuo Chen
4 papers · 2023–2024 · 1 venue · across top CS/AI venues
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Venues
Top co-authors
Research topics
Keywords
data pruning
(2)
coreset selection
(2)
graph neural network
(2)
prototype learning
(1)
robust learning
(1)
molecular machine learning
(1)
graph structure learning
(1)
pre-trained model
(1)
node classification
(1)
scaling law
(1)
imbalanced learning
(1)
molecular property prediction
(1)
molecular representation learning
(1)
graph pruning
(1)
subgraph extraction
(1)
noisy training
(1)
data-centric machine learning
(1)
imbalanced training
(1)
efficient training
(1)
efficient gnn
(1)
Papers
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
NeurIPS 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
NeurIPS 2024
GSLB: The Graph Structure Learning Benchmark
NeurIPS 2023
Uncovering Neural Scaling Laws in Molecular Representation Learning
NeurIPS 2023