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Community Vector Models

The concept of community vector models is related to estimating community memberships of nodes in a network, where every node is associated with a vector determining its degree of membership in each community.

Key Papers

* Estimating Mixed Memberships with Sharp Eigenvector Deviations: This paper considers the problem of estimating community memberships of nodes in a network. Existing provably consistent algorithms often require strong assumptions about the structure of the network.
* Directed degree corrected mixed membership model and estimating community memberships in directed networks: This paper models and estimates community memberships of nodes in a directed network, where every row (column) node is associated with a vector determining its membership in each row (column) community.

Lack of Direct Matches

Unfortunately, the search index lacks direct matches for the term "Community Vector Vector". However, based on general knowledge, it appears that community vector models are related to estimating community memberships of nodes in a network using vector representations. If you have any further questions or clarification regarding this topic, I'd be happy to try and assist you.
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icon http://arxiv.org/abs/1605.02276v3

Problems With Evaluation of Word Embeddings Using Word Similarity...

Lacking standardized extrinsic evaluation methods for vector representations of words, the NLP community has relied heavily on word similarity tasks as a proxy for intrinsic evaluation of word vectors...
icon http://arxiv.org/abs/1709.00407v3

Estimating Mixed Memberships with Sharp Eigenvector Deviations

We consider the problem of estimating community memberships of nodes in a network, where every node is associated with a vector determining its degree of membership in each community. Existing provabl...
icon http://arxiv.org/abs/2109.07826v2

Directed degree corrected mixed membership model and estimating c...

This paper considers the problem of modeling and estimating community memberships of nodes in a directed network where every row (column) node is associated with a vector determining its membership in...
icon http://arxiv.org/abs/1510.08241v4

A Geometrical Stability Condition for Compressed Sensing

During the last decade, the paradigm of compressed sensing has gained significant importance in the signal processing community. While the original idea was to utilize sparsity assumptions to design p...
icon https://github.com/arpita739/Real-time-Vernacular-Sign-Language-Recognition-using-MediaPipe-and-Machine-Learning

arpita739/Real-time-Vernacular-Sign-Language-Recognition-using-Me...

The deaf-mute community have undeniable communication problems in their daily life. Recent developments in artificial intelligence tear down this communication barrier. The main purpose of this paper ...