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Xiyuan Wang

14 papers · 2022–2025 · 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

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🀝 Dynamic Duo (13)
🀝 Dynamic Duo (13) πŸ”¬ Deep Specialist (12) ⚑ Prolific Year Β· Productive ❓ The Questioner πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (61)

Venues

ICML (5) NeurIPS (4) ICLR (3) Interspeech (1) JMLR (1)

Top co-authors

Muhan Zhang (13) Cai Zhou (4) Zian Li (3) Pan Li (2) David Wipf (1) Liang Xu (1) Junru Zhou (1) Minjie Wang (1) Fangyuan Wang (1) Xingang Peng (1)

Research topics

Deep Learning (14) Machine Learning (13) Architectures (13) Core Methods (10) Optimization & Theory (4) Artificial Intelligence (2) Core AI (2) Learning Types Β· Deep Learning (2) Models (2) Mathematics & Optimization (1) Learning Types Β· Machine Learning (1) Mathematics (1)

Keywords

graph neural network (10) message passing neural network (4) message passing (3) graph isomorphism (3) link prediction (2) diffusion model (2) geometric deep learning (2) attention mechanism (1) speaker verification (1) self-supervised learning (1) conditional generation (1) transformer (1) embedding learning (1) random walk (1) expressivity (1) graph generation (1) expressive power (1) generative model (1) spectral analysis (1) point cloud (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 Graph As Point Set ICML 2024 Neural Common Neighbor with Completion for Link Prediction ICLR 2024 Unifying Generation and Prediction on Graphs with Latent Graph Diffusion NeurIPS 2024 Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power NeurIPS 2023 Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes NeurIPS 2023 From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks ICML 2023 Is Distance Matrix Enough for Geometric Deep Learning? NeurIPS 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