Zobrazeno 1 - 10
of 719
pro vyhledávání: '"Li, Fuhai"'
Autor:
Dong, Zehao, Zhao, Qihang, Payne, Philip R. O., Province, Michael A, Cruchaga, Carlos, Zhang, Muhan, Zhao, Tianyu, Chen, Yixin, Li, Fuhai
Biomarker identification is critical for precise disease diagnosis and understanding disease pathogenesis in omics data analysis, like using fold change and regression analysis. Graph neural networks (GNNs) have been the dominant deep learning model
Externí odkaz:
http://arxiv.org/abs/2402.07268
Autor:
Dong, Zehao, Zhang, Muhan, Payne, Philip R. O., Province, Michael A, Cruchaga, Carlos, Zhao, Tianyu, Li, Fuhai, Chen, Yixin
The expressivity of Graph Neural Networks (GNNs) has been studied broadly in recent years to reveal the design principles for more powerful GNNs. Graph canonization is known as a typical approach to distinguish non-isomorphic graphs, yet rarely adopt
Externí odkaz:
http://arxiv.org/abs/2309.00738
Message passing neural networks (MPNNs) have emerged as the most popular framework of graph neural networks (GNNs) in recent years. However, their expressive power is limited by the 1-dimensional Weisfeiler-Lehman (1-WL) test. Some works are inspired
Externí odkaz:
http://arxiv.org/abs/2306.03266
Publikováno v:
精准医学杂志, Vol 39, Iss 3, Pp 271-274 (2024)
Objective To investigate the effect of home exercise rehabilitation on cardiopulmonary function in patients with varying degrees of coronary revascularization. Methods A total of 93 patients who were diagnosed with acute coronary syndrome and underwe
Externí odkaz:
https://doaj.org/article/385fa38dd7f14813b9265c02dab1a955
Publikováno v:
Cancers 2023, 15(17), 4210
Synergistic drug combinations provide huge potentials to enhance therapeutic efficacy and to reduce adverse reactions. However, effective and synergistic drug combination prediction remains an open question because of the unknown causal disease signa
Externí odkaz:
http://arxiv.org/abs/2209.09245
The most popular design paradigm for Graph Neural Networks (GNNs) is 1-hop message passing -- aggregating information from 1-hop neighbors repeatedly. However, the expressive power of 1-hop message passing is bounded by the Weisfeiler-Lehman (1-WL) t
Externí odkaz:
http://arxiv.org/abs/2205.13328
Optimization of directed acyclic graph (DAG) structures has many applications, such as neural architecture search (NAS) and probabilistic graphical model learning. Encoding DAGs into real vectors is a dominant component in most neural-network-based D
Externí odkaz:
http://arxiv.org/abs/2203.10304
Publikováno v:
In Structures June 2024 64
We investigate molecular mechanisms of resistant or sensitive response of cancer drug combination therapies in an inductive and interpretable manner. Though deep learning algorithms are widely used in the drug synergy prediction problem, it is still
Externí odkaz:
http://arxiv.org/abs/2105.07082
Publikováno v:
In Construction and Building Materials 8 December 2023 408