Yanming Shen
8 papers · 2021–2025 · 4 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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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🔥
Unstoppable · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(7)
Deep Learning
(4)
Architectures
(4)
Knowledge & Reasoning
(3)
Representation
(3)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Applications
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
graph neural network
(5)
representation learning
(3)
knowledge graph embedding
(3)
link prediction
(2)
graph representation
(1)
data augmentation
(1)
self-attention mechanism
(1)
confidence calibration
(1)
few-shot learning
(1)
model architecture
(1)
knowledge representation
(1)
spectral analysis
(1)
deep architecture
(1)
molecular graph
(1)
state-of-the-art performance
(1)
token alignment
(1)
uncertainty estimation
(1)
trajectory data
(1)
molecular representation
(1)
transformer architecture
(1)
Papers
Bridging Molecular Graphs and Large Language Models
AAAI 2025
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
ICML 2024
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation
AAAI 2024
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
ACL 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
ICML 2023
A New Perspective on the Effects of Spectrum in Graph Neural Networks
ICML 2022
HousE: Knowledge Graph Embedding with Householder Parameterization
ICML 2022
Do Transformers Really Perform Badly for Graph Representation?
NeurIPS 2021