Caihua Shan
11 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (12)
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Renaissance Researcher
(8)
🌉
Interdisciplinary Bridge
🤝
Dynamic Duo
(10)
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Grand Slam
❓
The Questioner
(3)
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Unstoppable
(5)
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Century Club
(11)
Conferences
ICLR (3)
ICML (3)
NIPS (3)
AAAI (1)
CVPR (1)
Top co-authors
Keywords
graph neural network
(5)
vector graphics
(2)
representation learning
(1)
reinforcement learning
(1)
function approximation
(1)
object detection
(1)
graph representation learning
(1)
explainable ai
(1)
message passing
(1)
node embedding
(1)
dynamic graph
(1)
task planning
(1)
structural information
(1)
neighborhood aggregation
(1)
spatial correlation
(1)
spatial information
(1)
language agent
(1)
subgraph extraction
(1)
global aggregation
(1)
circuit motif
(1)
Papers
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
ICLR 2025
When Do LLMs Help With Node Classification? A Comprehensive Analysis
ICML 2025
Training-free Multi-objective Diffusion Model for 3D Molecule Generation
ICLR 2024
Can Graph Learning Improve Planning in LLM-based Agents?
NIPS 2024
Explaining Temporal Graph Models through an Explorer-Navigator Framework
ICLR 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
AAAI 2023
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
ICML 2023
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
CVPR 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
ICML 2022
Recognizing Vector Graphics without Rasterization
NIPS 2021
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
NIPS 2021