Results 21 to 30 of about 10,176,843 (267)
Link Prediction Based on Subgraph Evolution in Dynamic Social Networks [PDF]
We propose a new method for characterizing the dynamics of complex networks with its application to the link prediction problem. Our approach is based on the discovery of network subgraphs (in this study: triads of nodes) and measuring their transitions ...
Musial, Katarzyna +2 more
core +6 more sources
Assessing the Quality of a Knowledge Graph via Link Prediction Tasks [PDF]
Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval, 2023 Knowledge Graph (KG) Construction is the prerequisite for all other KG research and applications. Researchers and engineers have proposed various approaches to build KGs for their use cases. However, how can we know whether our constructed KG is good or bad? Is it correct and complete? Is it consistent and robust?
Ruiqi Zhu +7 more
openaire +1 more source
Wireless Link Quality Prediction in IoT Networks [PDF]
2019 8th International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN), 2019 The knowledge of link quality in IoT networks will allow a more accurate selection of wireless links to build the routes used by data gathering. Therefore, the number of retransmissions on these links is decreased, leading to a shorter end-to-end latency, a better end-to-end reliability and a larger network lifetime.
Sindjoung, Miguel Landry Foko +1 more
openaire +3 more sources
An efficient learning technique to predict link quality in WSN [PDF]
2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC), 2014 In this paper, we apply learning techniques to predict link quality evolution in a wireless sensor network (WSN) and take advantage of wireless links with the best possible quality to improve the packet delivery rate. We model this problem as a forecaster prediction game based on the advice of several experts.
Marinca, Dana +2 more
openaire +3 more sources
irfnrifqi/Food-Link-Prediction: Link Prediciton
, 2021 In 2020, Islam was recorded as the second biggest religion in the world with 1,9 billion followers. In Indonesia, the Muslim population reaches 263 million people, or 87,2% of the total population.
irfnrifqi
core +1 more source
Tracking and predicting link quality in wireless community networks [PDF]
2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2014 Community networks have emerged under the mottos of “break the strings that are limiting you”, “don't buy the network, be the network” or “a free net for everyone is possible”. Such networks create a measurable social impact as they provide to the community the right and opportunity of communication.
Pere Millán +6 more
openaire +5 more sources
On the randomness analysis of link quality prediction: limitations and benefits
, 2022 Abstract In wireless multi-hop networks, such as wireless sensor networks, link quality (LQ) is one of the most important metrics and is widely used in higher-layer applications such as routing protocols. An accurate link quality prediction may greatly help to improve the performance of wireless multi-hop networks.
Liao Wenxing, Shi Xiaofei
openaire +2 more sources
Improving Graph Neural Network Models in Link Prediction Task via A Policy-Based Training Method
Applied Sciences, 2022 Graph neural network (GNN), as a widely used deep learning model in processing graph-structured data, has attracted numerous studies to apply it in the link prediction task.
Yigeng Shang +3 more
doaj +1 more source
Link Quality Prediction Based on Gate Recurrent Unit
工程科学与技术, 2022 In wireless sensor networks, nodes are susceptible to noise interference, which makes the transmission link quality worse, leading to packet loss and retransmission, thus speeding up the energy consumption of nodes and reducing the network life.
Linlan LIU +3 more
doaj
Link quality prediction for wireless devices with multiple radios
2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks, 2008 Communication between wireless devices ought to be as simple as possible; they should be able to seamlessly switch between different radios and network stacks on the fly in order to better serve the user. To make this a possibility, we consider the challenging problem of predicting link quality in a changing mobile environment. In this paper we present
Qiuyi Duan +3 more
openaire +2 more sources