Yongqi Huang
4 papers · 2024–2026 · 2 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
🌍
Conference Polyglot
(2)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
❓
The Questioner
Conferences
AAAI (3)
CVPR (1)
Top co-authors
Keywords
graph neural network
(3)
graph contrastive learning
(2)
graph representation learning
(2)
representation learning
(2)
self-supervised learning
(2)
infonce loss
(1)
negative sampling
(1)
neural network
(1)
representative negative sample
(1)
universal encoder
(1)
graph pre-training
(1)
model compression
(1)
model upcycling
(1)
matrix decomposition
(1)
parameter efficiency
(1)
heterogeneous graph
(1)
discriminative representation
(1)
Papers
MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training
AAAI 2026
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
AAAI 2025
DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models
CVPR 2025
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning
AAAI 2024