Alternatives and similar repositories for node2vec

Users that are interested in node2vec are comparing it to the libraries listed below

• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,747Updated 2 years ago
• palash1992 / GEM
  ☆1,286Updated 2 years ago
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,704Updated 2 years ago
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,291Updated 3 months ago
• tangjianpku / LINE
  LINE: Large-scale information network embedding
  ☆1,053Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,650Updated last year
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,624Updated 5 years ago
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,524Updated 5 years ago
• snap-stanford / snap
  Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
  ☆2,255Updated 2 years ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,269Updated last year
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,834Updated last year
• leoribeiro / struc2vec
  This repository provides a reference implementation of struc2vec.
  ☆395Updated 2 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,040Updated 5 years ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,419Updated last year
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆931Updated 3 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,728Updated 6 years ago
• taynaud / python-louvain
  Louvain Community Detection
  ☆1,032Updated last year
• alibaba / euler
  A distributed graph deep learning framework.
  ☆2,903Updated 2 years ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,043Updated last year
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆943Updated 5 years ago
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆537Updated 4 years ago
• suanrong / SDNE
  This is a implementation of SDNE (Structural Deep Network embedding)
  ☆322Updated 4 years ago
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,195Updated 5 years ago
• benedekrozemberczki / karateclub
  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  ☆2,273Updated last year
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆844Updated 3 years ago
• lucashu1 / link-prediction
  Representation learning for link prediction within social networks
  ☆353Updated 7 years ago
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,326Updated 5 months ago
• thunlp / KB2E
  Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
  ☆1,423Updated 3 years ago
• ysig / GraKeL
  A scikit-learn compatible library for graph kernels
  ☆634Updated 6 months ago
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆809Updated 3 years ago