Care sunt principalele funcționalități ale benedekrozemberczki/boostedfactorization?

Principalele funcționalități ale benedekrozemberczki/boostedfactorization sunt: Embedding Algorithms, Gradient Boosting Research.

BoostedFactorization - embed multi-level

Name: benedekrozemberczki/boostedfactorization
Author: benedekrozemberczki

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Features

Embedding Algorithms - Multi-level network embedding using boosted low-rank approximation.
Gradient Boosting Research - Local topic discovery using boosted matrix factorization.

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Features

Embedding Algorithms - Multi-level network embedding using boosted low-rank approximation.
Gradient Boosting Research - Local topic discovery using boosted matrix factorization.

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