Gang Kou
5 papers · 2022–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(15)
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Research topics
Artificial Intelligence
(3)
Deep Learning
(3)
Machine Learning
(3)
Architectures
(3)
Core AI
(3)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Representation
(1)
Keywords
graph neural network
(3)
node classification
(2)
contrastive learning
(2)
transfer learning
(1)
domain adaptation
(1)
text classification
(1)
self-supervised learning
(1)
graph representation learning
(1)
prompt engineering
(1)
explanation generation
(1)
explainable ai
(1)
graph structure
(1)
statistical testing
(1)
random walk
(1)
evidential deep learning
(1)
graph contrastive learning
(1)
network embedding
(1)
multiplex network
(1)
network representation learning
(1)
node attribute
(1)
Papers
CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations
AAAI 2026
Transferable Graph Condensation from the Causal Perspective
AAAI 2026
Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training
EMNLP 2025
Attribute and Structure Preserving Graph Contrastive Learning
AAAI 2023
Role-based Multiplex Network Embedding
ICML 2022