Alternatives and similar repositories for deepwalk:

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

• aditya-grover / node2vec
  ☆2,658Updated 2 years ago
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,696Updated last year
• tangjianpku / LINE
  LINE: Large-scale information network embedding
  ☆1,050Updated 8 months ago
• palash1992 / GEM
  ☆1,284Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,488Updated 7 months ago
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,526Updated 4 years ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,782Updated last year
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,609Updated 4 years ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,246Updated 9 months ago
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,260Updated 7 months ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆906Updated 5 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,675Updated 5 years ago
• leoribeiro / struc2vec
  This repository provides a reference implementation of struc2vec.
  ☆388Updated last year
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,011Updated 4 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,319Updated 2 years ago
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,787Updated 2 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆804Updated 5 years ago
• shenweichen / GraphNeuralNetwork
  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
  ☆808Updated 2 years ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,402Updated last year
• suanrong / SDNE
  This is a implementation of SDNE (Structural Deep Network embedding)
  ☆321Updated 3 years ago
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆528Updated 3 years ago
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,122Updated 4 years ago
• twjiang / graphSAGE-pytorch
  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
  ☆641Updated last year
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,229Updated last year
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆911Updated 2 years ago
• danielegrattarola / keras-gat
  Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
  ☆482Updated 4 years ago
• thunlp / KB2E
  Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
  ☆1,408Updated 2 years ago
• alibaba / euler
  A distributed graph deep learning framework.
  ☆2,898Updated last year
• thunlp / KRLPapers
  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
  ☆1,533Updated 3 years ago
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆533Updated 5 years ago