Alternatives and similar repositories for node2vec

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

• VHRanger / nodevectors
  Fastest network node embeddings in the west
  ☆551Updated 8 months ago
• sknetwork-team / scikit-network
  Graph Algorithms
  ☆622Updated last month
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,279Updated last year
• VHRanger / CSRGraph
  A tiny library for larger graphs
  ☆119Updated 11 months ago
• louisabraham / fastnode2vec
  Fast and scalable node2vec implementation
  ☆96Updated 2 years ago
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,258Updated last year
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆565Updated last year
• GiulioRossetti / cdlib
  Community Discovery Library
  ☆403Updated last month
• palash1992 / GEM
  ☆1,286Updated last year
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,317Updated 3 weeks ago
• tensorflow / gnn
  TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
  ☆1,481Updated last week
• NVIDIA-Merlin / Transformers4Rec
  Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
  ☆1,203Updated 2 months ago
• torchkge-team / torchkge
  TorchKGE: Knowledge Graph embedding in Python and PyTorch.
  ☆390Updated last year
• sisinflab / elliot
  Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
  ☆291Updated this week
• gbolmier / funk-svd
  A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
  ☆224Updated 3 years ago
• claws-lab / jodie
  A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
  ☆399Updated last year
• microsoft / tf2-gnn
  TensorFlow 2 library implementing Graph Neural Networks
  ☆375Updated 2 years ago
• Sujit-O / pykg2vec
  Python library for knowledge graph embedding and representation learning.
  ☆618Updated 4 years ago
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆925Updated 2 years ago
• dmmiller612 / sparktorch
  Train and run Pytorch models on Apache Spark.
  ☆340Updated 2 years ago
• snap-stanford / snap-python
  SNAP Python code, SWIG related files
  ☆305Updated 3 years ago
• lmcinnes / pynndescent
  A Python nearest neighbor descent for approximate nearest neighbors
  ☆942Updated 9 months ago
• taynaud / python-louvain
  Louvain Community Detection
  ☆1,017Updated last year
• pykeen / pykeen
  🤖 A Python library for learning and evaluating knowledge graph embeddings
  ☆1,864Updated last month
• ysig / GraKeL
  A scikit-learn compatible library for graph kernels
  ☆626Updated last month
• je-dbl / GNN-RecSys
  Graph Neural Networks for Recommender Systems
  ☆295Updated 3 years ago
• benedekrozemberczki / datasets
  A repository of pretty cool datasets that I collected for network science and machine learning research.
  ☆639Updated last year
• etlundquist / rankfm
  Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
  ☆176Updated last year
• statisticianinstilettos / recmetrics
  A library of metrics for evaluating recommender systems
  ☆580Updated last year
• aditya-grover / node2vec
  ☆2,688Updated 3 years ago