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pro vyhledávání: '"Cheng, Minjie"'
Predicting ground-state conformation from the corresponding molecular graph is crucial for many chemical applications, such as molecular modeling, molecular docking, and molecular property prediction. Recently, many learning-based methods have been p
Externí odkaz:
http://arxiv.org/abs/2410.09795
Polymers are high-molecular-weight compounds constructed by the covalent bonding of numerous identical or similar monomers so that their 3D structures are complex yet exhibit unignorable regularity. Typically, the properties of a polymer, such as pla
Externí odkaz:
http://arxiv.org/abs/2406.04727
Autor:
Cheng, Minjie, Xu, Hongteng
When learning graph neural networks (GNNs) in node-level prediction tasks, most existing loss functions are applied for each node independently, even if node embeddings and their labels are non-i.i.d. because of their graph structures. To eliminate s
Externí odkaz:
http://arxiv.org/abs/2310.11762
Autor:
CHENG Minjie
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 8, Pp 155-160 (2024)
Objective In parts of Chengdu, the underlying bedrock in expansive soil area is mudstone, providing a conducive space for groundwater accumulation. This leads to the swelling of expansive soil upon water absorption, causing significant expansion pres
Externí odkaz:
https://doaj.org/article/0fd1123b7f374e0685af2440b6a32115
Autor:
Xu, Hongteng, Cheng, Minjie
Global pooling is one of the most significant operations in many machine learning models and tasks, which works for information fusion and structured data (like sets and graphs) representation. However, without solid mathematical fundamentals, its pr
Externí odkaz:
http://arxiv.org/abs/2212.06339
Publikováno v:
In Digital Signal Processing January 2025 156 Part A
Autor:
Cheng, Minjie, Xu, Hongteng
Global pooling is one of the most significant operations in many machine learning models and tasks, whose implementation, however, is often empirical in practice. In this study, we develop a novel and solid global pooling framework through the lens o
Externí odkaz:
http://arxiv.org/abs/2201.09191
Publikováno v:
In Engineering Applications of Artificial Intelligence November 2021 106
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