Gang Kou
5 papers · 2022–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π£ Hot Topic Early Bird π Cross-Pollinator (11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(15)
Conferences
AAAI (3)
EMNLP (1)
ICML (1)
Top co-authors
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
Transferable Graph Condensation from the Causal Perspective
AAAI 2026
CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations
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