233 Open source projects that are alternatives of or similar to GE-FSG

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

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

document embedding and machine learning script for beginners

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

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

doc2vec , word2vec, implemented by golang. word embedding representation

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

Assessing Source Code Semantic Similarity with Unsupervised Learning

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

Python interface to Google word2vec

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

Embedding模型代码和学习笔记总结

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".

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

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.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Log Anomaly Detection - Machine learning to detect abnormal events logs

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

A word2vec negative sampling implementation with correct CBOW update.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

text2vec, chinese text to vetor.(文本向量化表示工具，包括词向量化、句子向量化、句子相似度计算)

Oxford Deep NLP 2017 course - Practical 1: word2vec

A complete pytorch implementation of skip-gram

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

A practical movie recommend project based on Item2vec.

Remove problematic gender bias from word embeddings.

Language Modeling and Text Classification in Malayalam Language using ULMFiT

Pre-trained word vectors of 30+ languages

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

Visualization tool for Graph Neural Networks

Topic Modelling for Humans

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

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

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

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

基于情感字典和机器学习的股市舆情情感分类可视化Web

Code and resources on scalable and efficient Graph Neural Networks

Using word vectors to classify spam messages

Recommendation based on sequence

Implementation of Grad-CAM for text.

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

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

Implementing Facebook's FastText with java

Making sense embedding out of word embeddings using graph-based word sense induction

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)

Using pre trained word embeddings (Fasttext, Word2Vec)

Go library for performing computations in word2vec binary models

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

对 ansj 编写的 Word2VEC_java 的进一步包装，同时实现了常用的词语相似度和句子相似度计算。

sourced.ml is a library and command line tools to build and apply machine learning models on top of Universal Abstract Syntax Trees

Word2Vec iOS port

Exploring the simple sentence similarity measurements using word embeddings

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.

Pre-trained Word2Vec Model for Turkish