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
  ☆2,718Updated last year
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,698Updated last year
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,265Updated 8 months ago
• palash1992 / GEM
  ☆1,284Updated last year
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,524Updated 4 years ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,248Updated 9 months ago
• tangjianpku / LINE
  LINE: Large-scale information network embedding
  ☆1,050Updated 8 months ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,503Updated 8 months ago
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,608Updated 4 years ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,793Updated last year
• leoribeiro / struc2vec
  This repository provides a reference implementation of struc2vec.
  ☆389Updated last year
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,017Updated 4 years ago
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,296Updated last year
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆808Updated 5 years ago
• thunlp / KB2E
  Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
  ☆1,409Updated 2 years ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,407Updated last year
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆920Updated 2 years ago
• THUDM / GATNE
  Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
  ☆530Updated 3 years ago
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,768Updated last year
• Jhy1993 / HAN
  Heterogeneous Graph Neural Network
  ☆1,127Updated 4 years ago
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,239Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,334Updated 3 years ago
• thunlp / KRLPapers
  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
  ☆1,534Updated 3 years ago
• suanrong / SDNE
  This is a implementation of SDNE (Structural Deep Network embedding)
  ☆321Updated 3 years ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,683Updated 5 years ago
• hwwang55 / GraphGAN
  A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
  ☆534Updated 5 years ago
• xiangwang1223 / knowledge_graph_attention_network
  KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
  ☆1,104Updated 4 years ago
• snap-stanford / snap
  Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
  ☆2,216Updated last year
• microsoft / gated-graph-neural-network-samples
  Sample Code for Gated Graph Neural Networks
  ☆1,028Updated 5 years ago
• kimiyoung / planetoid
  Semi-supervised learning with graph embeddings
  ☆915Updated 5 years ago