A5026679059- Advanced Graph Neural Networks
- Recommender Systems and Techniques
- Natural Antidiabetic Agents Studies
- Neural Networks and Applications
- Brain Tumor Detection and Classification
- Diet, Metabolism, and Disease
- Advances in Cucurbitaceae Research
- Complex Network Analysis Techniques
- Manufacturing Process and Optimization
- Plant-Derived Bioactive Compounds
- BIM and Construction Integration
- Biological Stains and Phytochemicals
- Information Systems and Technology Applications
- Autophagy in Disease and Therapy
- Curcumin's Biomedical Applications
- Design Education and Practice
- Pharmacological Effects of Natural Compounds
- Biochemical effects in animals
- Morinda citrifolia extract uses
- Ginseng Biological Effects and Applications
- Topic Modeling
- Phytochemistry and biological activity of medicinal plants
- Gut microbiota and health
- Adipose Tissue and Metabolism
Ocean University of China
2022-2025
Shenyang Pharmaceutical University
2015-2023
Huazhong University of Science and Technology
2020
Heterogeneous graph convolutional networks have gained great popularity in tackling various network analytical tasks on heterogeneous data, ranging from link prediction to node classification. However, most existing works ignore the relation heterogeneity with multiplex between multi-typed nodes and different importance of relations meta-paths for embedding, which can hardly capture structure signals across relations. To tackle this challenge, work proposes a Multiplex Graph Convolutional...
Type 2 diabetes mellitus (T2DM) is a type of metabolic illness based on relatively insufficient insulin secretion and resistance (IR) as pathophysiological bases. Currently, it the main diabetes. Hypoglycemic hypolipidemic effects licochalcone A (LicA) high-fat diet streptozocin-caused T2DM were studied. LicA can remarkably decline IR index blood glucose serum lipid levels. Also, treatment improve "three more one less" phenomenon in mice, such excessive drinking, eating, urine, weight loss....
Heterogeneous graph neural networks have gained great popularity in tackling various network analysis tasks on heterogeneous data. However, most existing works mainly focus general networks, and assume that there is only one type of edge between two nodes, while ignoring the multiplex characteristics multi-typed nodes different importance structures among for node embedding. In addition, over-smoothing issue limits models to capturing local structure signals but hardly learning global...
Ginseng, as a functional food, is widely used worldwide because of its multifarious benefits. Studies have verified that 25-hydroxyl-protopanaxatriol (T19) new ginsenoside from ginseng, which had an important inhibitory effect on α-glucosidase and protein tyrosine phosphatase 1B in vitro. This study aims to assess the regulation T19 against glycolipid metabolism by insulin-resistant HepG2 cells diabetes mice induced with high-fat diet combined streptozotocin (STZ). effectively lowered levels...
Heterogeneous graph convolutional networks have gained great popularity in tackling various network analytical tasks on heterogeneous data, ranging from link prediction to node classification. However, most existing works ignore the relation heterogeneity with multiplex between multi-typed nodes and different importance of relations meta-paths for embedding, which can hardly capture structure signals across relations. To tackle this challenge, work proposes a M ultiplex H eterogeneous G raph...
Efficient recommender systems play a crucial role in accurately capturing user and item attributes that mirror individual preferences. Some existing recommendation techniques have started to shift their focus towards modeling various types of interaction relations between users items real-world scenarios, such as clicks, marking favorites, purchases on online shopping platforms. Nevertheless, these approaches still grapple with two significant shortcomings: (1) Insufficient exploitation the...
Cassane diterpenoids were successfully and simultaneously identified in Caesalpinia minax Hance by high-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry. A total of 59 peaks detected, among them 51 compounds, including 41 furanocassane diterpenoids, 10 furanolactone cassane characterized on the basis protonated molecule, retention behavior, fragments MS2. Ten seven novel or tentatively for first time C. minax. In a positive ion mode,...
Ethnopharmacological relevance: Plant-based extracts to interfere with the onset of diabetes may be a promising approach towards type 2 mellitus (T2DM). Bitter gourd (Momordica charantia L.) is popularly consumed as an edible and medicinal resource hypoglycemic effect in China. Wild bitter Charantia var. abbreviata Ser.) variant gourd, but there are relatively few studies on it.Aim study: The purpose experiment first screen out most effective extraction part Momordica L. Ser. through...