CANE: community-aware network embedding via adversarial training
Sign Up to like & getrecommendations! Published in 2021 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-020-01521-9
Abstract: Network embedding aims to learn a low-dimensional representation vector for each node while preserving the inherent structural properties of the network, which could benefit various downstream mining tasks such as link prediction and node classification.… read more here.
Keywords: cane community; network; community; network embedding ... See more keywords
FLGAI: a unified network embedding framework integrating multi-scale network structures and node attribute information
Sign Up to like & getrecommendations! Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01780-7
Abstract: Network embedding is an effective method aiming to learn the low-dimensional vector representation of nodes in networks, which has been widely used in various network analytic tasks such as node classification, node clustering, and link… read more here.
Keywords: network structure; information; network; network embedding ... See more keywords
Enhancing attributed network embedding via enriched attribute representations
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02498-w
Abstract: Attributed network embedding enables to generate low-dimensional representations of network objects by leveraging both network structure and attribute data. However, how to properly combine two different information to achieve better vector representations remains still unclear.… read more here.
Keywords: attribute representations; network; attribute; network embedding ... See more keywords
Heterogeneous Graph Network Embedding for Sentiment Analysis on Social Media
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-020-09793-7
Abstract: Nowadays, more people are used to express their attitudes on different entities in online social networks, forming user-to-entity sentiment links. These sentiment links imply positive or negative semantics. Most of current user sentiment analysis literature… read more here.
Keywords: network; sentiment; network embedding; graph network ... See more keywords
Sparse network embedding for community detection and sign prediction in signed social networks
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-017-0630-1
Abstract: Network embedding is an important pre-process for analysing large scale information networks. Several network embedding algorithms have been proposed for unsigned social networks. However, these methods cannot be simply migrate to signed social networks which… read more here.
Keywords: detection sign; signed social; social networks; network embedding ... See more keywords
Reservoir computing dissection and visualization based on directed network embedding
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.02.029
Abstract: Abstract The reservoir computing (RC) has recently gained considerable attention in practice and many methods have been developed to study its internal mechanism. However, the specific role played by the reservoir nodes of RC in… read more here.
Keywords: reservoir; reservoir computing; network embedding; prediction ... See more keywords
The Hidden Flow Structure and Metric Space of Network Embedding Algorithms Based on Random Walks
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-12586-y
Abstract: Network embedding which encodes all vertices in a network as a set of numerical vectors in accordance with it’s local and global structures, has drawn widespread attention. Network embedding not only learns significant features of… read more here.
Keywords: network; algorithms based; network embedding; random walks ... See more keywords
Integrating Topic Model and Network Embedding for Thread Recommendation.
Sign Up to like & getrecommendations! Published in 2021 at "Methods of information in medicine"
DOI: 10.1055/s-0041-1736462
Abstract: OBJECTIVES A thread is the most common information aggregation unit in a health forum, so effective thread recommendation is critical for improving the user experience in an online health community (OHC). This paper proposes an… read more here.
Keywords: information; thread recommendation; network; network embedding ... See more keywords
DRONet: effectiveness-driven drug repositioning framework using network embedding and ranking learning
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac518
Abstract: As one of the most vital methods in drug development, drug repositioning emphasizes further analysis and research of approved drugs based on the existing large amount of clinical and experimental data to identify new indications… read more here.
Keywords: ranking learning; drug repositioning; repositioning framework; network embedding ... See more keywords
A Survey on Algorithmic Aspects of Virtual Optical Network Embedding for Cloud Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2821179
Abstract: An important challenge in network virtualization is the process of assigning physical resources to virtual network requests, where virtual node resources represent the demands of IT capacities while virtual links are connected between pairs of… read more here.
Keywords: network; virtual optical; survey; network embedding ... See more keywords
Virtual Network Embedding Algorithm for Location-Based Identifier Allocation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2903476
Abstract: Network virtualization allows multiple isolated virtual networks (VNs) to share the same substrate network (SN). VN embedding (VNE) algorithms can efficiently allocate the limited SN resources to VNs and assign a unique identifier to each… read more here.
Keywords: allocation; virtual network; location; network embedding ... See more keywords