no code implementations • 7 Nov 2023 • Dashan Zhang, Yuntian Chen, Shiyi Chen
However, when facing the complex real-world, most of the existing methods still strongly rely on the quantity and quality of observation data.
1 code implementation • 6 Mar 2023 • Candi Zheng, Wang Yang, Shiyi Chen
This paper aims to stabilize MEM, making it possible to simulating very strong normal shock waves on modern GPUs at single precision.
no code implementations • 21 Oct 2022 • Tianyi Li, Michele Buzzicotti, Luca Biferale, Fabio Bonaccorso, Shiyi Chen, Minping Wan
Different gap sizes and gap geometries are investigated in order to assess the importance of coherency and multi-scale properties of the missing information.
no code implementations • 18 Oct 2021 • Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu Pan, Junjin Zheng, Lei Wang, Zenglin Xu
Graph Convolutional Networks (GCNs) are powerful for processing graph-structured data and have achieved state-of-the-art performance in several tasks such as node classification, link prediction, and graph classification.
no code implementations • 1 Aug 2021 • Candi Zheng, Yang Wang, Shiyi Chen
We further proposed a constitutive relation model based on scaling law and tested it on the calculation of Rayleigh scattering spectra.
no code implementations • 13 Apr 2021 • Shiyi Chen, Ziao Wang, Xinni Zhang, Xiaofeng Zhang, Dan Peng
Graph representation learning has long been an important yet challenging task for various real-world applications.
no code implementations • 23 Sep 2019 • Yaping Zheng, Shiyi Chen, Xinni Zhang, Xiaofeng Zhang, Xiaofei Yang, Di Wang
Community detection has long been an important yet challenging task to analyze complex networks with a focus on detecting topological structures of graph data.