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).
Las características principales de benedekrozemberczki/boostedfactorization son: Embedding Algorithms, Gradient Boosting Research.
Las alternativas de código abierto para benedekrozemberczki/boostedfactorization incluyen: 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.
