Results 271 to 280 of about 140,466 (301)
Some of the next articles are maybe not open access.
Embedding star networks into hypercubes
IEEE Transactions on Computers, 1996Summary: The star interconnection network has recently been suggested as an alternative to the hypercube. As hypercubes are often viewed as universal and capable of simulating other architectures efficiently, we investigate embeddings of star network into hypercubes. Ourt embeddings exhibit a marked trade-off between dilation and expansion. For the \(n\
Saïd Bettayeb +3 more
openaire +1 more source
Embedding and networking: conceptualizing experience in a technosociety
Technology in Society, 2009Embedding and networking offer two important perspectives on relationships between technology and society. This article explores the connotations of each term and their interrelationships. Our general thesis is that the development of various processes of disembedding prepares the way for, even makes necessary, a compensatory construction commonly ...
Briggle, Adam, Mitcham, Carl
openaire +1 more source
Virtual Network Embedding for Evolving Networks
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010Network virtualization has been proposed as a powerful vehicle for running multiple customized networks on a shared infrastructure. Virtual network embedding is a critical step for network virtualization that deals with efficient mapping of virtual nodes and virtual links onto the substrate network resources.
Zhiping Cai +4 more
openaire +1 more source
Networking Wireless Energy in Embedded Networks
ACM Transactions on Sensor Networks, 2018Wireless energy transfer has recently emerged as a promising alternative to realize the vision of perpetual embedded sensing. However, this technology transforms the notion of energy from merely a node’s local commodity to, similarly to data, a deployment-wide shareable resource.
Yasra Chandio +3 more
openaire +1 more source
On the Network Embedding in Sparse Signed Networks
2019Network embedding, that learns low-dimensional node representations in a graph such that the network structure is preserved, has gained significant attention in recent years. Most state-of-the-art embedding methods have mainly designed algorithms for representing nodes in unsigned social networks.
Ayan Kumar Bhowmick +2 more
openaire +1 more source
PNE: Label Embedding Enhanced Network Embedding
2017Unsupervised NRL (Network Representation Learning) methods only consider the network structure information, which makes their learned node representations less discriminative. To utilize the label information of the partially labeled network, several semi-supervised NRL methods are proposed.
Weizheng Chen +4 more
openaire +1 more source
Co-authorship Network Embedding and Recommending Collaborators via Network Embedding
2018Co-authorship networks contain invisible patterns of collaboration among researchers. The process of writing joint paper can depend of different factors, such as friendship, common interests, and policy of university. We show that, having a temporal co-authorship network, it is possible to predict future publications.
Ilya Makarov +3 more
openaire +1 more source
Deep Attributed Network Embedding by Preserving Structure and Attribute Information
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021Richang Hong, Le Wu, Yong Ge
exaly
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism
IEEE Transactions on Neural Networks and Learning Systems, 2022Pengfei Jiao, Xuan Guo, Dongxiao He
exaly
Network Together: Node Classification via Cross-Network Deep Network Embedding
IEEE Transactions on Neural Networks and Learning Systems, 2021Xiao Shen, Quanyu Dai, Sitong Mao
exaly