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GitHub / benedekrozemberczki / BoostedFactorization
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Stars: 33
Forks: 13
Open Issues: 0
License: gpl-3.0
Language: Python
Repo Size: 829 KB
Dependencies: pending
Created: over 5 years ago
Updated: 8 months ago
Last pushed: over 1 year ago
Last synced: about 1 month ago
Topics: boostedne, boosting, boosting-machine, data-mining, deepwalk, dimensionality-reduction, factorization-machine, gradient-boosting, gradient-boosting-machine, l-ensnmf, machine-learning, matrix-factorization, network-embedding, nmf, nmf-decomposition, node-embedding, node2vec, sklearn, unsupervised-learning, word2vec
Funding links: https://github.com/sponsors/benedekrozemberczki