Alternatives and similar repositories for awesome-network-embedding

Users that are interested in awesome-network-embedding are comparing it to the libraries listed below

• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,522Updated 5 years ago
• palash1992 / GEM
  ☆1,286Updated 2 years ago
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,747Updated 2 years ago
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,703Updated 2 years ago
• aditya-grover / node2vec
  ☆2,711Updated 3 years ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,418Updated last year
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,270Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,652Updated last year
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,807Updated 2 years ago
• MaxwellRebo / awesome-2vec
  Curated list of 2vec-type embedding models
  ☆932Updated 3 years ago
• benedekrozemberczki / awesome-community-detection
  A curated list of community detection research papers with implementations.
  ☆2,424Updated last month
• thunlp / KRLPapers
  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
  ☆1,528Updated 4 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
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,729Updated 6 years ago
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,081Updated 5 years ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,044Updated last year
• leoribeiro / struc2vec
  This repository provides a reference implementation of struc2vec.
  ☆394Updated 2 years ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,042Updated 5 years ago
• snap-stanford / snap
  Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
  ☆2,256Updated 2 years ago
• alibaba / euler
  A distributed graph deep learning framework.
  ☆2,903Updated 2 years ago
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆931Updated 3 years ago
• facebookresearch / poincare-embeddings
  PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
  ☆1,747Updated 8 months ago
• mdeff / cnn_graph
  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
  ☆1,366Updated 5 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,294Updated 2 years ago
• benedekrozemberczki / karateclub
  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  ☆2,274Updated last year
• tkipf / keras-gcn
  Keras implementation of Graph Convolutional Networks
  ☆794Updated 4 years ago
• tkipf / relational-gcn
  Keras-based implementation of Relational Graph Convolutional Networks
  ☆817Updated 6 years ago
• jdlc105 / Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
  Papers on Graph neural network(GNN)
  ☆768Updated 2 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