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This repository provides a reference implementation of node2vec as described in the paper:
This repository contains the official code of the paper NRGBoost: Energy-Based Generative Boosted Trees (ICLR 2025).
Online Multi-Class LPBoost
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
The main features of benedekrozemberczki/boostedfactorization are: Embedding Algorithms, Gradient Boosting Research.
Open-source alternatives to benedekrozemberczki/boostedfactorization include: aditya-grover/node2vec — This repository provides a reference implementation of node2vec as described in the paper:. ajoo/nrgboost — This repository contains the official code of the paper NRGBoost: Energy-Based Generative Boosted Trees (ICLR 2025). amirsaffari/online-multiclass-lpboost — Online Multi-Class LPBoost. andompesta/come — Implementation of ComE algorithm. andymiller/vboost — code for Variational Boosting: Iteratively Refining Posterior Approximations. aciditeam/acidano.
