Zobrazeno 1 - 10
of 978
pro vyhledávání: '"Wang,Yakun"'
Autor:
Chen, Wei, Ye, Guo, Wang, Yakun, Zhang, Zhao, Zhang, Libang, Wang, Daxin, Zhang, Zhiqiang, Zhuang, Fuzhen
Unsupervised Graph Domain Adaptation (UGDA) seeks to bridge distribution shifts between domains by transferring knowledge from labeled source graphs to given unlabeled target graphs. Existing UGDA methods primarily focus on aligning features in the l
Externí odkaz:
http://arxiv.org/abs/2412.11654
Autor:
Wang, Yakun, Wang, Daixin, Liu, Hongrui, Hu, Binbin, Yan, Yingcui, Zhang, Qiyang, Zhang, Zhiqiang
Link prediction, as a fundamental task for graph neural networks (GNNs), has boasted significant progress in varied domains. Its success is typically influenced by the expressive power of node representation, but recent developments reveal the inferi
Externí odkaz:
http://arxiv.org/abs/2407.20499
Autor:
Khajavirad, Aida, Wang, Yakun
We consider the problem of inference in higher-order undirected graphical models with binary labels. We formulate this problem as a binary polynomial optimization problem and propose several linear programming relaxations for it. We compare the stren
Externí odkaz:
http://arxiv.org/abs/2405.09727
Autor:
Wang, Yakun, Wu, Bin
Uni-directional social interactions are ubiquitous in real social networks whereas undirected interactions are intensively studied. We establish a voter model in a dynamical directed network. We analytically obtain the degree distribution of the evol
Externí odkaz:
http://arxiv.org/abs/2405.02856
In [SIAM J. Optim., 2022], the authors introduced a new linear programming (LP) relaxation for K-means clustering. In this paper, we further investigate both theoretical and computational properties of this relaxation. As evident from our numerical e
Externí odkaz:
http://arxiv.org/abs/2402.01061
Autor:
Wang, Yakun, Hu, Binbin, Yang, Shuo, Zhu, Meiqi, Zhang, Zhiqiang, Zhang, Qiyang, Zhou, Jun, Ye, Guo, He, Huimei
The rapid development of graph neural networks (GNNs) encourages the rising of link prediction, achieving promising performance with various applications. Unfortunately, through a comprehensive analysis, we surprisingly find that current link predict
Externí odkaz:
http://arxiv.org/abs/2312.04815
The Relativistic Configuration-interaction Density functional (ReCD) theory that combines the advantages of large-scale configuration-interaction shell model and relativistic density functional theory is extended to study nuclear chiral rotation. The
Externí odkaz:
http://arxiv.org/abs/2310.17899
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 44, Iss 10, Pp 1330-1334 (2024)
The etiology of rhabdomyolysis in adults is multifaceted, with one cause being physical exertion, termed exertional rhabdomyolysis (ERM). Characterized primarily by the destruction of muscle cells, ERM results in the release of intracellular contents
Externí odkaz:
https://doaj.org/article/4994494195684624b0c3884bbf832401
Autor:
Wang, Yakun, Wu, Bin
The voter model on networks is crucial to understand opinion formation. Uni-directional social interactions are ubiquitous in real social networks whereas undirected interactions are intensively studied. We establish a voter model on a dynamical dire
Externí odkaz:
http://arxiv.org/abs/2307.05511
Autor:
Wei, Shikun, Zhang, Jing, Zhang, Liwen, Wang, Yakun, Sun, Heyang, Hua, Xiuyi, Guo, Zhiyong, Dong, Deming
Publikováno v:
In Applied Catalysis B: Environment and Energy 5 December 2024 358