33 Open source projects that are alternatives of or similar to fastwalk

A curated list of community detection research papers with implementations.

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

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

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

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

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

Siamese and triplet networks with online pair/triplet mining in PyTorch

100+ Chinese Word Vectors 上百种预训练中文词向量

An open-source vector database for embedding similarity search and AI applications.

TensorFlow implementation of TransE and its extended models for Knowledge Representation Learning

Using XLNet as Embedding of Keras

Embedding模型代码和学习笔记总结

Minimum-distortion embedding with PyTorch

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

A simple wrapper class for extracting features(embedding) and comparing them using BERT in TensorFlow

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

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Go Embed experiments

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

Multi-Hop Logical Reasoning in Knowledge Graphs

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

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

Mandrake 🌿/👨‍🔬🦆 – Fast visualisation of the population structure of pathogens using Stochastic Cluster Embedding

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)

Position embedding layers in Keras

A distributed graph deep learning framework.

Implementation and experiments of graph embedding algorithms.

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

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

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