Results 11 to 20 of about 138,699 (301)
Discriminative Streaming Network Embedding
Knowledge-Based Systems, 2020 Many real-world networks (e.g., friendship network among Facebook users) generate data (e.g., friend requests) in a stream fashion. Recently, several network embedding methods are proposed to learn embeddings on such networks incrementally.
Chen, Xiaojun +5 more
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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
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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
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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
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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
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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
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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
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Reinforcement learning-based virtual network embedding: A comprehensive survey
ICT Express, 2023 Virtual network embedding plays a vital role in network virtualization, as it determines the deployment and connection of virtual networks to the physical network in the 5G and beyond.
Hyun-Kyo Lim +3 more
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Conditional Network Embeddings [PDF]
CoRR, 2018 Network Embeddings (NEs) map the nodes of a given network into $d$-dimensional Euclidean space $\mathbb{R}^d$. Ideally, this mapping is such that `similar' nodes are mapped onto nearby points, such that the NE can be used for purposes such as link prediction (if `similar' means being `more likely to be connected') or classification (if `similar' means `
Kang, Bo, Lijffijt, Jefrey, De Bie, Tijl
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Deep Attributed Network Embedding via Weisfeiler-Lehman and Autoencoder
IEEE Access, 2022 Network embedding plays a critical role in many applications. Node classification, link prediction, and network visualization are examples of such applications.
Amr Thabit Al-Furas +3 more
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