supported by the National Key R&D Program of China(2022YFF0903301);the National Natural Science Foundation of China(Grant Nos.U22B2059,61976073,62276083);the Shenzhen Foundational Research Funding(JCYJ20200109113441941);the Major Key Project of PCL(PCL2021A06).
Sparse Knowledge Graph(KG)scenarios pose a challenge for previous Knowledge Graph Completion(KGC)methods,that is,the completion performance decreases rapidly with the increase of graph sparsity.This problem is also ex...
supported by the National Natural Science Foundation of China (No. 11925101);the National Key R&D Program of China (No. 2020YFA0712800)。
Surface bundles arising from periodic mapping classes may sometimes have non-isomorphic, but profinitely isomorphic fundamental groups. Pairs of this kind have been discovered by Hempel. This paper exhibits examples o...
With the continuous adjustment of the energy structure,photovoltaic(PV)power generation projects are increasing,playing a crucial role in promoting the application of clean energy.However,the current audit of complete...
supported by the National Natural Science Foundation of China(Grant Nos.11991030,11991031,and 11972205).
Inverse problem-solving methods have found applications in various fields,such as structural mechanics,acoustics,and non-destructive testing.However,accurately solving inverse problems becomes challenging when observe...
supported by the National Natural Science Foundation of China(Grant No.62002384);the General Project of China Postdoctoral Science Foundation(Grant No.2020M683760);the Songshan Laboratory Project(Grant No.221100210700-03)。
With the development of knowledge graphs,a series of applications based on knowledge graphs have emerged.The incompleteness of knowledge graphs makes the effect of the downstream applications affected by the quality o...
supported in part by the National Center for Advancing Translational Sciences of the National Institutes of Health(award number UL1TR003015).
Objective‘Sludge’refers to administrative burdens or frictions that preclude people from getting what they want or need(eg,duplicative forms,complicated instructions,long waiting times).This mixed methods study eval...
supported by Jinan Municipal Health Commission Science and Technology Project(2023-2-13 to F.Z.);the Joint Fund of the Natural Science Foundation of Shandong Province(ZR2022LZL005 to X.L.);Postdoctoral Innovation Project of Shandong Province(SDCX-ZG-202201001 to X.L.)。
Reproductive aging involves a progressive decline in fertility,particularly in females(Duncan et al.,2018;Gruhn et al.,2019),which is characterized by the decline in the number of follicles and the deterioration of oo...
This review addresses the diverse applications of multiphase flows,focusing on drilling,completions,and injection activities in the oil and gas industry.Identifying contemporary challenges and suggesting future resear...
This review addresses the diverse applications of multiphase flows,focusing on drilling,completions,and injection activities in the oil and gas industry.Identifying contemporary challenges and suggesting future resear...
supported partly by National Natural Science Foundation of China(Nos.62372119 and 62166003);the Project of Guangxi Science and Technology(Nos.GuiKeAB23026040 and GuiKeAD20159041);the Innovation Project of Guangxi Graduate Education(No.YCSW2023188);Key Lab of Education Blockchain and Intelligent Technology,Ministry of Education,Guangxi Normal University,Guilin,China,Intelligent Processing and the Research Fund of Guangxi Key Lab of Multi-source Information Mining&Security(Nos.20-A-01-01 and MIMS21-M01);Open Research Fund of Guangxi Key Lab of Humanmachine Interaction and Intelligent Decision(No.GXHIID2206);the Guangxi Collaborative Innovation Center of Multi-Source Information Integration and the Guangxi“Bagui”Teams for Innovation and Research,China.
Knowledge representation learning(KRL)aims to encode entities and relationships in various knowledge graphs into low-dimensional continuous vectors.It is popularly used in knowledge graph completion(or link prediction...