50 Open Source Deepwalk Software Projects

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

A curated list of community detection research papers with implementations.

Implementation and experiments of graph embedding algorithms.

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

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

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

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

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

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).

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

A repository of pretty cool datasets that I collected for network science and machine learning research.

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

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

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

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

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

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

An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)

DeepWalk implementation in C++

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).

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

The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)

:walking: Cython implementation of DeepWalk

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

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

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

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

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 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 list of data mining and machine learning papers that I implemented in 2019.

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

Embeddings for all geonames populated locations with population greater than 0

A easy library for recommendation system or computational advertising

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.

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

Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)

Predicting lncRNA-disease associations in heterogeneous network based on deep learning method.

Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .