Weigang Lu
4 papers · 2022–2026 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Keywords
graph neural network
(4)
graph structure
(2)
self-supervised learning
(1)
attention mechanism
(1)
knowledge distillation
(1)
data augmentation
(1)
efficient computing
(1)
node classification
(1)
self-supervised pretraining
(1)
heterogeneous graph
(1)
semi-supervised node classification
(1)
multi-layer perceptron
(1)
graph mixup
(1)
attention aggregation
(1)
node mixup
(1)
adaptive mechanism
(1)
label distribution alignment
(1)
neighbor connection
(1)
node sampling
(1)
model compression
(1)
Papers
ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs
AAAI 2026
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
AAAI 2025
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
AAAI 2024
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
NeurIPS 2022