30 open-source projects similar to benedekrozemberczki/boostedfactorization, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best BoostedFactorization alternative.
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
code for Variational Boosting: Iteratively Refining Posterior Approximations
Remark: The code is updated from the ICML version. The ICML version corresponds to a commit on May 25, 2018.
Code for a paper InfiniteBoost: building infinite ensembles with gradient descent (arXiv:1706.01109). A. Rogozhnikov, T. Likhomanenko
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
An implementation of "Community Preserving Network Embedding" (AAAI 2017)
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).