Results 91 to 100 of about 1,708,308 (346)
Event Detection in Social Media via Graph Neural Network
, 2021 Recently, Graph Neural Networks (GNN) have been applied to many natural language processing tasks. However, few studies exploit GNN for event detection, especially event detection in social media.
Yuan Fang +7 more
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Multiresolution Reservoir Graph Neural Network
, 2021 Graph neural networks are receiving increasing attention as state-of-the-art methods to process graph-structured data. However, similar to other neural networks, they tend to suffer from a high computational cost to perform training. Reservoir computing (
Pasa L., Sperduti A., Navarin N.
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Cascade2vec: Learning Dynamic Cascade Representation by Recurrent Graph Neural Networks
IEEE Access, 2019 An information dissemination network (i.e., a cascade) with a dynamic graph structure is formed when a novel idea or message spreads from person to person.
Zhenhua Huang, Zhenyu Wang, Rui Zhang
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FEBS Letters, EarlyView.Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
Research on few-shot text classification techniques based on text-level-graph neural networks [PDF]
Journal of Hebei University of Science and TechnologyIn order to solve the problem of poor accuracy of text classification in text graph neural network with small samples, a text level graph neural network-prototypical (LGNN-Proto) was designed.
Xiangcheng AN, Baozhu LIU, Jingwei GAN
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Graph Neural Network for Traffic Flow Situation Prediction
Jisuanji kexue yu tansuo, 2021 Road network structure integrated traffic flow situation prediction is a highly nonlinear and complexly spatial-temporal dynamic correlation time-series data prediction problem. However, traditional traffic flow situation forecasting methods cannot model
JIANG Shan, DING Zhiming, XU Xinrun, YAN Jin
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Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
, 2023 Graph neural architecture search (NAS) has gained popularity in automatically designing powerful graph neural networks (GNNs) with relieving human efforts.
Zhou, C +5 more
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Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures [PDF]
, 2005 Architecture design is a fundamental step in the successful application of Feed forward Neural Networks. In most cases a large number of neural networks architectures suitable to solve a problem exist and the architecture design is, unfortunately, still ...
Gutiérrez Sánchez, Germán +4 more
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