411 Open source projects that are alternatives of or similar to walklets

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

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".

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

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

A curated list of community detection research papers with implementations.

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

A distributed graph deep learning framework.

Minimum-distortion embedding with PyTorch

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

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

Embedding模型代码和学习笔记总结

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

Papers about explainability of GNNs

Implementation and experiments of graph embedding algorithms.

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

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

Fast word vectors with little memory usage in Python

中文詞向量訓練教學

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

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

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.

🦆 Contextually-keyed word vectors

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

Using pre trained word embeddings (Fasttext, Word2Vec)

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

Log Anomaly Detection - Machine learning to detect abnormal events logs

A multi-thread implementation of node2vec random walk.

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

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

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

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.

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

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

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

document embedding and machine learning script for beginners

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

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

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

Graph Embedding via Frequent Subgraphs

Pre-trained Word2Vec Model for Turkish

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

Topic Modelling for Humans

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

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.

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

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

A fast, efficient universal vector embedding utility package.

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

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

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Use word2vec to improve search result

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Word2Vec In Java (2013 google word2vec opensource)

Tri-Party Deep Network Representation, IJCAI-16

Jupyter notebooks for Chainer hands-on

📉Deep learning from scratch using Go. Specializes in natural language processing