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
  ☆2,734Updated 2 years ago
• palash1992 / GEM
  ☆1,287Updated last year
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,699Updated last year
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,275Updated 10 months ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,535Updated 10 months ago
• tangjianpku / LINE
  LINE: Large-scale information network embedding
  ☆1,050Updated 11 months ago
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,522Updated 4 years ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,252Updated last year
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,610Updated 4 years ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,811Updated last year
• leoribeiro / struc2vec
  This repository provides a reference implementation of struc2vec.
  ☆392Updated last year
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,022Updated 5 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,691Updated 5 years ago
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆925Updated 2 years ago
• snap-stanford / snap
  Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
  ☆2,227Updated last year
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆531Updated 3 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆813Updated 5 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆817Updated 2 years ago
• alibaba / euler
  A distributed graph deep learning framework.
  ☆2,900Updated last year
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,360Updated 5 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆921Updated 5 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,373Updated 3 years ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,413Updated last year
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,307Updated last year
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,783Updated last year
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,272Updated 2 years ago
• matenure / FastGCN
  The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
  ☆525Updated 4 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆652Updated last year
• thunlp / KB2E
  Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
  ☆1,411Updated 2 years ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,010Updated last month