Results 81 to 90 of about 3,430,428 (283)
Link quality prediction based on random forest
Tongxin xuebao, 2019 Link quality prediction is vital to the upper layer protocol design of wireless sensor networks.Selecting high quality links with the help of link quality prediction mechanisms can improve data transmission reliability and network communication ...
Linlan LIU, Shengrong GAO, Jian SHU
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Ego-net link prediction with GNN
Научно-технический вестник информационных технологий, механики и оптикиThe task of link prediction is one of the key challenges in the field of social network analysis. The common way to build such systems is based on the idea of decomposing a task into two levels. At the first level, links within ego-nets are predicted; at
E. I. Zamyatin
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Link Prediction Based on Deep Convolutional Neural Network
Information, 2019 In recent years, endless link prediction algorithms based on network representation learning have emerged. Network representation learning mainly constructs feature vectors by capturing the neighborhood structure information of network nodes for link ...
Wentao Wang +4 more
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Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Link prediction in co-authorship networks based on hybrid content similarity metric
, 2017 Link prediction in online social networks is used to determine new interactions among its members which are likely to occur in the future. Link prediction in the coauthorship network has been regarded as one of the main targets in link prediction ...
Nilanjan Dey +17 more
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Cross-Temporal Link Prediction
2011 IEEE 11th International Conference on Data Mining, 2011 The increasing interest in dynamically changing networks has led to growing interest in a more general link prediction problem called temporal link prediction in the data mining and machine learning communities. However, only links in identical time frames are considered in temporal link prediction. We propose a new link prediction problem called cross-
Satoshi Oyama +2 more
openaire +2 more sources
Link prediction algorithm in signed networks based on clustering coefficient and sign influence
四川大学学报. 自然科学版, 2021 In order to achieve the dual goals of link prediction and sign prediction in signed social networks quickly and accurately, a link prediction algorithm is proposed based on the clustering coefficient of common neighbor nodes and the influence of the sign
LIU Miao-Miao +3 more
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Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Experimental results on link prediction.
, 2019 Experimental results on link prediction.
Moein Khajehnejad (7252055)
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Link Prediction Based on Community Information and Its Parallelization
IEEE Access, 2019 Link prediction refers to predicting the likelihood of the existence of an unknown link or a future link based on the observed information. It plays an important role in complex network analysis.
Jingwei Wang +3 more
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