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← Authors

Yinan Huang

5 papers · 2022–2025 · 3 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) ❓ The Questioner (2)

Conferences

ICLR (3) ICML (1) NIPS (1)

Top co-authors

Muhan Zhang (4) Pan Li (2) Jianzhu Ma (2) Xingang Peng (2) Haoyu Peter Wang (1) William Lu (1) Joshua Robinson (1) Xiyuan Wang (1) Yu Yang (1) Zian Li (1)

Keywords

graph neural network (2) variational autoencoder (1) molecular graph (1) drug design (1) molecular design (1) molecular generation (1) equivariant learning (1) message passing neural network (1) geometric deep learning (1) universal function approximator (1)

Papers

What Are Good Positional Encodings for Directed Graphs? ICLR 2025 On the Stability of Expressive Positional Encodings for Graphs ICLR 2024 Is Distance Matrix Enough for Geometric Deep Learning? NIPS 2023 Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs ICLR 2023 3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design ICML 2022