Results 11 to 20 of about 8,419,643 (305)
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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Security-Aware Virtual Network Embedding Algorithm Based on Reinforcement Learning [PDF]
IEEE Transactions on Network Science and Engineering, 2021 Virtual network embedding (VNE) algorithm is always the key problem in network virtualization (NV) technology. At present, the research in this field still has the following problems. The traditional way to solve VNE problem is to use heuristic algorithm.
Peiying Zhang +3 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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Embedding Wheel - like Networks
Iranian Journal of Mathematical Sciences and Informatics, 2023 Summary: One of the important features of an interconnection network is its ability to efficiently simulate programs or parallel algorithms written for other architectures. Such a simulation problem can be mathematically formulated as a graph embedding problem. In this paper we compute the lower bound for dilation and congestion of embedding onto wheel-
Rajan, R. Sundara +4 more
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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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LINE: Large-scale Information Network Embedding [PDF]
The Web Conference, 2015 This paper studies the problem of embedding very large information networks into low-dimensional vector spaces, which is useful in many tasks such as visualization, node classification, and link prediction.
Jian Tang +5 more
semanticscholar +1 more source
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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