Hangyuan Du
10 papers · 2025–2026 · 2 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) πΊοΈ Taxonomy Completionist (12)
β
Rising Star
(6)
π¬
Deep Specialist
(10)
π
Century Club
(10)
β‘
Prolific Year
(6)
Conferences
AAAI (5)
IJCAI (5)
Top co-authors
Keywords
graph neural network
(9)
graph classification
(7)
attention mechanism
(3)
graph kernel
(2)
out-of-distribution generalization
(2)
representation learning
(2)
mutual information
(1)
weisfeiler-lehman test
(1)
end-to-end learning
(1)
codebook learning
(1)
causal intervention
(1)
hierarchical feature
(1)
counterfactual regularization
(1)
jensen-shannon divergence
(1)
hierarchical pooling
(1)
convolutional filter
(1)
graph auto-encoder
(1)
graph pooling
(1)
entropy-based analysis
(1)
node feature discretization
(1)
Papers
GCIB: Causal Intervention Guided Graph Information Bottleneck Framework
AAAI 2026
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
AAAI 2026
SSHPool: The Separated Subgraph-based Hierarchical Pooling
AAAI 2026
CauVQ: Causal Vector Quantization for Graph OOD Generalization
AAAI 2026
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
IJCAI 2025
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
AAAI 2025
An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection
IJCAI 2025
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
IJCAI 2025
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
IJCAI 2025
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
IJCAI 2025