Xiyuan Wang
14 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (14)
π€
Dynamic Duo
(13)
π
Triple Crown
β
The Questioner
β‘
Prolific Year
(5)
π
Century Club
(14)
Conferences
ICML (5)
NIPS (4)
ICLR (3)
INTERSPEECH (1)
JMLR (1)
Top co-authors
Keywords
graph neural network
(6)
graph isomorphism
(3)
message passing neural network
(2)
message passing
(2)
embedding learning
(1)
attention mechanism
(1)
graph generation
(1)
conditional generation
(1)
geometric deep learning
(1)
speaker verification
(1)
random walk
(1)
spectral analysis
(1)
expressive power
(1)
generative model
(1)
diffusion model
(1)
node classification
(1)
latent space
(1)
positional encoding
(1)
spectral graph neural network
(1)
molecular property prediction
(1)
Papers
Geometric Representation Condition Improves Equivariant Molecule Generation
ICML 2025
Griffin: Towards a Graph-Centric Relational Database Foundation Model
ICML 2025
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick
JMLR 2025
On the Completeness of Invariant Geometric Deep Learning Models
ICLR 2025
Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
NIPS 2024
Graph As Point Set
ICML 2024
Neural Common Neighbor with Completion for Link Prediction
ICLR 2024
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
NIPS 2023
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
NIPS 2023
Is Distance Matrix Enough for Geometric Deep Learning?
NIPS 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
ICML 2023
P-vectors: A Parallel-coupled TDNN/Transformer Network for Speaker Verification
INTERSPEECH 2023
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
ICLR 2022
How Powerful are Spectral Graph Neural Networks
ICML 2022