Xiangguo Sun
9 papers · 2024–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23) β The Questioner (2) β‘ Prolific Year Β· Productive
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Architectures
(6)
Artificial Intelligence
(5)
Core AI
(3)
Core Methods
(3)
Learning Types
(3)
Natural Language Processing
(2)
Learning Paradigms
(2)
Resources & Methods
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Applications
(1)
Foundations
(1)
Keywords
graph neural network
(5)
large language model
(3)
prompt learning
(3)
graph representation
(2)
node classification
(2)
few-shot learning
(2)
variational autoencoder
(1)
mixture of expert
(1)
graph attention network
(1)
inference efficiency
(1)
error bound
(1)
graph prompting
(1)
linear model
(1)
heterogeneous graph
(1)
negative transfer
(1)
communication topology
(1)
traffic flow prediction
(1)
multi-task prompting
(1)
pre-trained graph model
(1)
pre-training and fine-tuning
(1)
Papers
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis
ICML 2025
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
ICML 2025
Graph Sparsification via Mixture of Graphs
ICLR 2025
Riding the Wave: Multi-Scale Spatial-Temporal Graph Learning for Highway Traffic Flow Prediction Under Overload Scenarios
IJCAI 2025
When Do LLMs Help With Node Classification? A Comprehensive Analysis
ICML 2025
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract)
IJCAI 2024
A Survey of Graph Meets Large Language Model: Progress and Future Directions
IJCAI 2024
ProG: A Graph Prompt Learning Benchmark
NeurIPS 2024
Protein Multimer Structure Prediction via Prompt Learning
ICLR 2024