Scholar
Yongqi Huang
Google Scholar ID: sNt-BUYAAAAJ
Tianjin University
graph representation learning
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Citations & Impact
All-time
Citations
25
H-index
3
i10-index
1
Publications
5
Co-authors
3
list available
Contact
No contact links provided.
Publications
8 items
CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts
2026
Cited
0
MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training
2026
Cited
0
Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding
2026
Cited
0
GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks
2026
Cited
0
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
2025
Cited
0
Str-GCL: Structural Commonsense Driven Graph Contrastive Learning
2025
Cited
0
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
2025
Cited
0
DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models
2025
Cited
0
Resume (English only)
Co-authors
3 total
Dongxiao He
Tianjin University, Professor of Computer Science
Jitao Zhao
Tianjin University
Di Jin
Tianjin University, Professor
