Yujie Mo
15 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Renaissance Researcher (5)
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(15)
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Conferences
AAAI (5)
IJCAI (5)
ICLR (2)
ICML (2)
NIPS (1)
Top co-authors
Keywords
graph representation learning
(7)
graph neural network
(5)
contrastive learning
(4)
multiplex graph
(4)
node classification
(4)
unsupervised learning
(3)
representation learning
(2)
feature learning
(1)
self-supervised learning
(1)
link prediction
(1)
embedding learning
(1)
directed graph
(1)
knowledge distillation
(1)
deep learning
(1)
em algorithm
(1)
multi-view learning
(1)
graph embedding
(1)
transfer learning
(1)
feature space
(1)
parameter efficient
(1)
Papers
Meta Label Correction with Generalization Regularizer
IJCAI 2025
Multiplex Graph Representation Learning with Homophily and Consistency
AAAI 2025
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
ICLR 2025
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
ICML 2025
MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP
IJCAI 2025
Exploring the Role of Node Diversity in Directed Graph Representation Learning
IJCAI 2024
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
ICLR 2024
Multiplex Graph Representation Learning via Bi-level Optimization
IJCAI 2024
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
NIPS 2024
Self-Training Based Few-Shot Node Classification by Knowledge Distillation
AAAI 2024
Disentangled Multiplex Graph Representation Learning
ICML 2023
Multiplex Graph Representation Learning via Common and Private Information Mining
AAAI 2023
Multi-view Unsupervised Graph Representation Learning
IJCAI 2022
Simple Unsupervised Graph Representation Learning
AAAI 2022
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity
AAAI 2022