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Community Vector

Unfortunately, the search results do not provide a direct answer to the question "Community Vector". However, based on the provided sources, we can infer that community vectors are related to estimating community memberships of nodes in a network.

The paper "Estimating Mixed Memberships with Sharp Eigenvector Deviations" (https://arxiv.org/abs/1709.00407v3) discusses the problem of estimating community memberships and uses vector representations to determine the degree of membership in each community.

Another related concept is the "Directed degree corrected mixed membership model" (https://arxiv.org/abs/2109.07826v2), which models and estimates community memberships in directed networks using vectors to determine membership in each row (column) community.

While these sources do not explicitly define a "Community Vector", they provide insight into the concept of vector representations used in estimating community memberships.
Running on Titan Engine | Context: 8k Tokens | Layers: GPU
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 ...