594 Open source projects that are alternatives of or similar to RolX

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

A curated list of community detection research papers with implementations.

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

A list of data mining and machine learning papers that I implemented in 2019.

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

A collection of important graph embedding, classification and representation learning papers with implementations.

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Implementation and experiments of graph embedding algorithms.

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

LibRec: A Leading Java Library for Recommender Systems, see

Embedding模型代码和学习笔记总结

A distributed graph deep learning framework.

Implementação e modelo gerado com o treinamento (trigram) da wikipedia em pt-br

Assessing Source Code Semantic Similarity with Unsupervised Learning

中文詞向量訓練教學

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

extract relationships from standardized terms from corpus of interest with deep learning 🐟

Python implementation of bag-of-concepts

訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Minimum-distortion embedding with PyTorch

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Pre-trained Word2Vec Model for Turkish

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Log Anomaly Detection - Machine learning to detect abnormal events logs

Web-ify your word2vec: framework to serve distributional semantic models online

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Fast word vectors with little memory usage in Python

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

A multi-thread implementation of node2vec random walk.

🦆 Contextually-keyed word vectors

Graph Embedding via Frequent Subgraphs

document embedding and machine learning script for beginners

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

A fast, efficient universal vector embedding utility package.

Using pre trained word embeddings (Fasttext, Word2Vec)

Python Framework for Extractive Text Summarization

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Topic Modelling for Humans

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

The reference implementation of "Multi-scale Attributed Node Embedding".

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

Word2Vec In Java (2013 google word2vec opensource)

Embed media and rich content in posts: YouTube, Vimeo, Twitch and more.

Tri-Party Deep Network Representation, IJCAI-16