Caihua Shan
11 papers · 2021–2025 · 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
Jump to papers ↓+6 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (28) π€ Dynamic Duo (10)
π€
Dynamic Duo
(10)
β
The Questioner
(3)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(7)
ποΈ
Keyword Collector
(52)
Venues
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(6)
Architectures
(6)
Artificial Intelligence
(5)
Core AI
(5)
Core Methods
(4)
Computer Science
(2)
Computer Vision
(2)
Natural Language Processing
(2)
Analysis
(2)
Application Areas
(2)
Applications
(2)
Learning Types
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Keywords
graph neural network
(6)
vector graphics
(2)
large language model
(2)
combinatorial optimization
(2)
function approximation
(1)
object detection
(1)
representation learning
(1)
explainable ai
(1)
benchmark evaluation
(1)
graph structure
(1)
message passing
(1)
monte carlo tree search
(1)
multi-objective optimization
(1)
multivariate time series
(1)
dynamic graph
(1)
conditional generation
(1)
node embedding
(1)
node classification
(1)
task planning
(1)
diffusion model
(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
Can Graph Learning Improve Planning in LLM-based Agents?
NeurIPS 2024
Training-free Multi-objective Diffusion Model for 3D Molecule Generation
ICLR 2024
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
ICML 2023
Explaining Temporal Graph Models through an Explorer-Navigator Framework
ICLR 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
AAAI 2023
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
ICML 2022
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
CVPR 2022
Recognizing Vector Graphics without Rasterization
NeurIPS 2021
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
NeurIPS 2021