Fengge Wu
4 papers · 2024–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Top co-authors
Research topics
Keywords
graph neural network
(4)
large language model
(3)
graph representation learning
(2)
synthetic dataset
(1)
causal learning
(1)
heterogeneous graph neural network
(1)
chain of thought
(1)
node feature alignment
(1)
causal mechanism identification
(1)
feature enhancers
(1)
causal inference
(1)
interchange intervention method
(1)
heterogeneous graph
(1)
node representation
(1)
Papers
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
AAAI 2025
Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning
IJCAI 2025
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
ICML 2025
Rethinking Causal Relationships Learning in Graph Neural Networks
AAAI 2024