3DLinker: an E (3) equivariant variational autoencoder for molecular linker design Y Huang, X Peng, J Ma, M Zhang arXiv preprint arXiv:2205.07309, 2022 | 42 | 2022 |
Boosting the Cycle Counting Power of Graph Neural Networks with I-GNNs Y Huang, X Peng, J Ma, M Zhang arXiv preprint arXiv:2210.13978, 2022 | 34 | 2022 |
On the stability of expressive positional encodings for graph neural networks Y Huang, W Lu, J Robinson, Y Yang, M Zhang, S Jegelka, P Li arXiv preprint arXiv:2310.02579, 2023 | 13 | 2023 |
Is distance matrix enough for geometric deep learning? Z Li, X Wang, Y Huang, M Zhang Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
What Can We Learn from State Space Models for Machine Learning on Graphs? Y Huang, S Miao, P Li arXiv preprint arXiv:2406.05815, 2024 | 2 | 2024 |
Rabi spectroscopy of three-dimensional optical lattice clocks G Liu, Y Huang, Z Cheng, Z Chen, Z Yu Physical Review A 101 (1), 012504, 2020 | 2 | 2020 |
What Are Good Positional Encodings for Directed Graphs? Y Huang, H Wang, P Li arXiv preprint arXiv:2407.20912, 2024 | | 2024 |