Jitao Zhao
6 papers · 2023–2026 · 3 conferences · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
🐝
Cross-Pollinator
(11)
❓
The Questioner
Conferences
AAAI (3)
NIPS (2)
ICML (1)
Top co-authors
Keywords
graph neural network
(6)
representation learning
(4)
self-supervised learning
(4)
graph contrastive learning
(3)
graph representation learning
(3)
contrastive learning
(2)
infonce loss
(1)
negative sampling
(1)
group discrimination
(1)
neighbor sampling
(1)
representative negative sample
(1)
universal encoder
(1)
graph pre-training
(1)
unsupervised learning
(1)
representation scattering
(1)
unsupervised pretraining
(1)
graph representation
(1)
mutual information
(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
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
NIPS 2024
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
NIPS 2024
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning
AAAI 2024
Contrastive Learning Meets Homophily: Two Birds with One Stone
ICML 2023