Zobrazeno 1 - 10
of 247
pro vyhledávání: '"Huang, Yinan"'
Positional encodings (PEs) are essential for building powerful and expressive graph neural networks and graph transformers, as they effectively capture the relative spatial relationships between nodes. Although extensive research has been devoted to
Externí odkaz:
http://arxiv.org/abs/2407.20912
Machine learning on graphs has recently found extensive applications across domains. However, the commonly used Message Passing Neural Networks (MPNNs) suffer from limited expressive power and struggle to capture long-range dependencies. Graph transf
Externí odkaz:
http://arxiv.org/abs/2406.05815
Autor:
Huang, Yinan, Lu, William, Robinson, Joshua, Yang, Yu, Zhang, Muhan, Jegelka, Stefanie, Li, Pan
Designing effective positional encodings for graphs is key to building powerful graph transformers and enhancing message-passing graph neural networks. Although widespread, using Laplacian eigenvectors as positional encodings faces two fundamental ch
Externí odkaz:
http://arxiv.org/abs/2310.02579
Graph Neural Networks (GNNs) are often used for tasks involving the 3D geometry of a given graph, such as molecular dynamics simulation. While incorporating Euclidean distance into Message Passing Neural Networks (referred to as Vanilla DisGNN) is a
Externí odkaz:
http://arxiv.org/abs/2302.05743
Message Passing Neural Networks (MPNNs) are a widely used class of Graph Neural Networks (GNNs). The limited representational power of MPNNs inspires the study of provably powerful GNN architectures. However, knowing one model is more powerful than a
Externí odkaz:
http://arxiv.org/abs/2210.13978
Deep learning has achieved tremendous success in designing novel chemical compounds with desirable pharmaceutical properties. In this work, we focus on a new type of drug design problem -- generating a small "linker" to physically attach two independ
Externí odkaz:
http://arxiv.org/abs/2205.07309
Autor:
Li, Peilong, Huang, Yinan, Marshall, Melanie, Li, Jieying, Khazdooz, Leila, Zarei, Amin, Wang, Yu, No, Da Som, Fang, Yuan, Abbaspourrad, Alireza
Publikováno v:
In Food Research International September 2024 191
Autor:
Huang, Yinan, Coggins, Toby M., Cirildo, Sarah, Gandy, Chandler, Aparasu, Rajender R., Thornton, J. Douglas
Publikováno v:
In Journal of the American Pharmacists Association May-June 2024 64(3)
Publikováno v:
Journal of Aeronautical Materials, Vol 43, Iss 4, Pp 25-36 (2023)
The corrosion behavior and mechanism of environmental sediment(CMAS molten salt)on different YO1.5-doped zirconia coatings(8YSZ, 38YSZ and 55YSZ)sprayed by atmospheric plasma at 1300 ℃ have been systematically studied. The results show that
Externí odkaz:
https://doaj.org/article/56a1b9bc843e4f68b396433675e48991
Autor:
Meng, Lingzi, Chen, Yunhui, Tang, Lingyi, Sun, Xiaoqin, Huo, Hongxun, He, Yuxin, Huang, Yinan, Shao, Qi, Pan, Shang, Li, Zhen
Publikováno v:
In Current Research in Microbial Sciences 2024 6