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Object representation on a heterogeneous network
ACM SIGOPS Operating Systems Review, 1982This paper documents some of the author's recent research into representation and naming in local area communication networks. It outlines a simple and practical method of providing what could be called 'network capabilities', an effort being made to keep this topic distinct from those of data security, data communication, network configurations and ...
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The neural representation of social networks
Current Opinion in Psychology, 2018The computational demands associated with navigating large, complexly bonded social groups are thought to have significantly shaped human brain evolution. Yet, research on social network representation and cognitive neuroscience have progressed largely independently.
Miriam E, Weaverdyck, Carolyn, Parkinson
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On knowledge representation in belief networks
2005Three focal elements of knowledge-based system design are (i) acquiring information from an expert, (ii) representing the information in a system-usable form, and (iii) using the information to draw inferences about specific problem instances. In the artificial intelligence (AI) literature, the first element is referred to as knowledge acquisition ...
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Learning Representations in Directed Networks
2015We propose a probabilistic model for learning continuous vector representations of nodes in directed networks. These representations could be used as high quality features describing nodes in a graph and implicitly encoding global network structure. The usefulness of the representations is demonstrated on link prediction and graph visualization tasks ...
Oleg U. Ivanov, Sergey O. Bartunov
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A Qualitative Representation of Route Networks
2010Route navigation is one of the most widely used everyday application of spatial data. In this paper we investigate how a qualitative representation of route networks can be derived from map data and how this representation can be used to reason about route descriptions.
Jochen Renz, Stefan Wölfl 0001
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A Review of Network Representation Learning
2019With the development of the technology, social software such as Facebook, Twitter, YouTube, QQ, WeChat has also achieved great development. According to the existing data, in the first quarter of 2018, WeChat’s monthly number has reached 1 billion [1].
Dan Xu +3 more
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Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
ACM Computing Surveys, 2023Jingya Zhou, Wenqi Wei, Liuling
exaly
A survey on heterogeneous network representation learning
Pattern Recognition, 2021Yu Xie, Bin Yu, Maoguo Gong
exaly
Enhanced contrastive representation in network
Information Sciences, 2023Gang-Feng Ma +3 more
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