44 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 involving 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".

: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