Results 1 to 10 of about 123,178 (258)
DVNE-DRL: dynamic virtual network embedding algorithm based on deep reinforcement learning [PDF]
Scientific Reports, 2023 Virtual network embedding (VNE), as the key challenge of network resource management technology, lies in the contradiction between online embedding decision and pursuing long-term average revenue goals.
Xiancui Xiao
doaj +2 more sources
Proximity-Based Compression for Network Embedding [PDF]
Frontiers in Big Data, 2021 Network embedding that encodes structural information of graphs into a low-dimensional vector space has been proven to be essential for network analysis applications, including node classification and community detection.
Muhammad Ifte Islam +4 more
doaj +2 more sources
Deep Dynamic Network Embedding for Link Prediction
IEEE Access, 2018 Network embedding task aims at learning low-dimension latent representations of vertices while preserving the structure of a network simultaneously. Most existing network embedding methods mainly focus on static networks, which extract and condense the ...
Taisong Li +4 more
doaj +3 more sources
Effective attributed network embedding with information behavior extraction [PDF]
PeerJ Computer Science, 2022 Network embedding has shown its effectiveness in many tasks, such as link prediction, node classification, and community detection. Most attributed network embedding methods consider topological features and attribute features to obtain a node embedding ...
Ganglin Hu, Jun Pang, Xian Mo
doaj +3 more sources
Method of Attributed Heterogeneous Network Embedding with Multiple Features [PDF]
Jisuanji kexue, 2022 Network embedding aims to represent nodes in unstructured network with low-dimensional,real-valued vectors,so that node embedding can retain the structural and attribute features of the original network as much as possible.However,current research mainly
TANG Qi-you, ZHANG Feng-li, WANG Rui-jin, WANG Xue-ting, ZHOU Zhi-yuan, HAN Ying-jun
doaj +1 more source
Attribute Network Representation Learning Based on Global Attention [PDF]
Jisuanji kexue, 2021 The attribute network not only has complex topology,its nodes also contain rich attribute information.Attribute network represent learning methods simultaneously extracts network topology and node attribute information to learn low-dimensional vector ...
XU Ying-kun, MA Fang-nan, YANG Xu-hua, YE Lei
doaj +1 more source
Hierarchical Labels Guided Attributed Network Embedding
Jisuanji kexue yu tansuo, 2021 Network embedding, aiming to learn low dimensional vectors for nodes while preserving important properties of the network, benefits plenty of network applications.
CHEN Jie, CHEN Jialin, ZHAO Shu, ZHANG Yanping
doaj +1 more source
MERP: Motifs enhanced network embedding based on edge reweighting preprocessing
Frontiers in Physics, 2022 Network embedding has attracted a lot of attention in different fields recently. It represents nodes in a network into a low-dimensional and dense space while preserving the structural properties of the network. Some methods (e.g.
Shaoqing Lv +4 more
doaj +1 more source
MFHE: Multi-View Fusion-Based Heterogeneous Information Network Embedding
Applied Sciences, 2022 Depending on the type of information network, information network embedding is classified into homogeneous information network embedding and heterogeneous information network (HIN) embedding. Compared with the homogeneous network, HIN composition is more
Tingting Liu, Jian Yin, Qingfeng Qin
doaj +1 more source
GCMD: Genetic Correlation Multi-Domain Virtual Network Embedding Algorithm
IEEE Access, 2021 With the increase of network scale and the complexity of network structure, the problems of traditional Internet have emerged. At the same time, the appearance of network function virtualization (NFV) and network virtualization technologies has largely ...
Peiying Zhang +5 more
doaj +1 more source