Yujie Mo
15 papers · 2022–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (26) π Grand Slam
π
Keyword Champion
(4)
π€
Dynamic Duo
(15)
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(63)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Learning Types Β· Machine Learning
(12)
Deep Learning
(10)
Architectures
(10)
Core Methods
(9)
Artificial Intelligence
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Learning Types Β· Deep Learning
(3)
Application Areas
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Core AI
(1)
Domain-Specific
(1)
Learning Paradigms Β· Machine Learning
(1)
Optimization
(1)
Keywords
graph representation learning
(7)
graph neural network
(6)
contrastive learning
(5)
multiplex graph
(4)
representation learning
(4)
node classification
(4)
unsupervised learning
(3)
self-supervised learning
(3)
feature learning
(1)
embedding learning
(1)
link prediction
(1)
em algorithm
(1)
multi-view learning
(1)
knowledge distillation
(1)
label propagation
(1)
graph embedding
(1)
feature space
(1)
transfer learning
(1)
parameter efficient
(1)
deep learning
(1)
Papers
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
ICML 2025
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
ICLR 2025
MCD-CLIP: Multi-view Chest Disease Diagnosis with Disentangled CLIP
IJCAI 2025
Meta Label Correction with Generalization Regularizer
IJCAI 2025
Multiplex Graph Representation Learning with Homophily and Consistency
AAAI 2025
Exploring the Role of Node Diversity in Directed Graph Representation Learning
IJCAI 2024
Multiplex Graph Representation Learning via Bi-level Optimization
IJCAI 2024
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
NeurIPS 2024
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
ICLR 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
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity
AAAI 2022
Multi-view Unsupervised Graph Representation Learning
IJCAI 2022
Simple Unsupervised Graph Representation Learning
AAAI 2022