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Embedding and networking: conceptualizing experience in a technosociety

Technology in Society, 2009
Embedding and networking offer two important perspectives on relationships between technology and society. This article explores the connotations of each term and their interrelationships. Our general thesis is that the development of various processes of disembedding prepares the way for, even makes necessary, a compensatory construction commonly ...
Briggle, Adam, Mitcham, Carl
openaire   +1 more source

On the Network Embedding in Sparse Signed Networks

2019
Network embedding, that learns low-dimensional node representations in a graph such that the network structure is preserved, has gained significant attention in recent years. Most state-of-the-art embedding methods have mainly designed algorithms for representing nodes in unsigned social networks.
Ayan Kumar Bhowmick   +2 more
openaire   +2 more sources

PNE: Label Embedding Enhanced Network Embedding

2017
Unsupervised NRL (Network Representation Learning) methods only consider the network structure information, which makes their learned node representations less discriminative. To utilize the label information of the partially labeled network, several semi-supervised NRL methods are proposed.
Weizheng Chen   +4 more
openaire   +1 more source

Co-authorship Network Embedding and Recommending Collaborators via Network Embedding

2018
Co-authorship networks contain invisible patterns of collaboration among researchers. The process of writing joint paper can depend of different factors, such as friendship, common interests, and policy of university. We show that, having a temporal co-authorship network, it is possible to predict future publications.
Ilya Makarov   +3 more
openaire   +1 more source

Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity

IEEE Transactions on Knowledge and Data Engineering, 2022
Chuan Shi, Xiao Wang, Yuanfu Lu
exaly  

Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding

ACM Computing Surveys, 2023
Wenqi Wei, Jianxi Fan, Jingya Zhou
exaly  

Node embedding with capsule generation-embedding network

International Journal of Machine Learning and Cybernetics, 2023
Jinghong Wang   +4 more
openaire   +1 more source

Network embedding: Taxonomies, frameworks and applications

Computer Science Review, 2020
Mingliang Hou   +2 more
exaly  

Network Together: Node Classification via Cross-Network Deep Network Embedding

IEEE Transactions on Neural Networks and Learning Systems, 2021
Fu Lai Korris Chung   +2 more
exaly  

Deep Attributed Network Embedding by Preserving Structure and Attribute Information

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
Richang Hong, Xindong Wu, Le Wu
exaly  

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