Network Embedding
Lexicon Creation for Financial Sentiment Analysis Using Network Embedding
... dependency network, we pro- posed an automatic dictionary construction method using secondary LINE (Large-scale Information Network Embedding) that is a network representa- tion learning ...
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Network Embedding via a Bi-Mode and Deep Neural Network Model
... Here we integrate the bi-mode embedding and the deep autoencoder representation into a unified network embedding model named BimoNet, which preserves the ability to model both semantic a[r] ...
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Enhancing the Energy Efficiency of Virtual Network Embedding in Cloud
... of network virtualization are investigated and it's already wide utilized in current Future internet testbeds ...core network is that the ability to consolidate ...environments. Network ...
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Hyperbolic Heterogeneous Information Network Embedding
... toward network embedding (Cui et ...global network structures to learn user representation. Most of network em- bedding methods embed network into low-dimensional Eu- clidean spaces, ...
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Studying the Impact of the Full-Network Embedding on Multimodal Pipelines | www.semantic-web-journal.net
... Full-Network embedding (FNE) [12] to generate the image embedding required by multi- modal pipelines, replacing the standard one-layer em- ...multimodal embedding pipeline defined in Unifying ...
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Relation Structure-Aware Heterogeneous Information Network Embedding
... Network embedding has shed a light on the analysis of net- works as it is effective to learn the latent features that encode the properties of a network (Cui et ...DBLP network for example, as ...
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News2vec: News Network Embedding with Subnode Information
... news network that con- nects the news nodes with their corresponding event element nodes in order to create the aggre- gated news context that describes both the seman- tic information and the background linkages ...
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Outlier Aware Network Embedding for Attributed Networks
... the network for generating ...attributed network representation ...the network embedding via joint matrix ...one embedding from content and struc- ture ...attributed network ...
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Personalized Question Routing via Heterogeneous Network Embedding
... To tackle these challenges, we propose NeRank that (1) jointly learns representations of question content, question raiser, and question answerers by a heterogeneous informa- tion network embedding ...
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A network embedding model for pathogenic genes prediction by multi-path random walking on heterogeneous network
... The study of pathogenic genes plays an important role in revealing the pathogenesis of diseases as well as devel- oping corresponding disease prevention and diagnosis methods. The key to deciphering the molecular and ...
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SepNE: Bringing Separability to Network Embedding
... Many successful methods have been proposed for learn- ing low dimensional representations on large-scale networks, while almost all existing methods are designed in insepara- ble processes, learning embeddings for entire ...
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Improving Textual Network Embedding with Global Attention via Optimal Transport
... Embedding visualization. We employed t- SNE (Maaten and Hinton, 2008) to project the net- work embeddings for the Cora dataset in a two- dimensional space using GANE-OT, with each node color coded according to its ...
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Cloud Virtual Network Embedding: Profit, Power and Acceptance
... of network virtualization has provided a premise for the current and future Infrastructure as a Service (IaaS) provision in cloud networks ...[1]. Network virtualization enables through the provisioning of ...
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CANE: Context Aware Network Embedding for Relation Modeling
... Network embedding (NE) is playing a critical role in network analysis, due to its ability to represent vertices with ef- ficient low-dimensional embedding vec- ...context-free embedding ...
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Energy Efficient Virtual Network Embedding for Cloud Networks
... and network- ing on demand to clients on a pay as you go basis. Network virtualization allows multiple heterogeneous virtual network ar- chitectures (comprising virtual nodes and links) to coexist on ...
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Enhancing the Energy Efficiency of Virtual Network Embedding in Cloud
... number of the foremost critical issue of dispensed computing is virtualization. It is techniques way of coherently section physical belongings verily that one physical asset will oblige diverse clients' requests at an ...
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Robust Negative Sampling for Network Embedding
... recent network embedding algorithms use negative sam- pling (NS) to approximate a variant of the computationally expensive Skip-Gram neural network architecture (SGA) ob- ...the network embed- ...
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Optimal virtual network embedding based on artificial bee colony
... From Fig. 5a, d, compared to VNE-PSO, VNE-ABC gener- ates 35.4% more long-term average revenue and increases the virtual network requests acceptance by 11%. PSO algo- rithm has a high rate of convergence, but it ...
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Full Network Embedding in a Multimodal Embedding Pipeline
... Full-Network embedding in this setting, replacing the original image representation in a competitive multimodal embedding gen- eration ...Full-Network embedding provides a multi-scale ...
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A modified ant colony optimization algorithm for virtual network embedding
... Numerous network applications that provide different levels of quality of service over the Internet have been developed in the past ...applications. Network virtualization (NV) [1] is a promising scheme ...
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