Alternatives and similar repositories for PyTorch-BigGraph

Users that are interested in PyTorch-BigGraph are comparing it to the libraries listed below

• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,263Updated last year
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,620Updated 4 years ago
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,741Updated 2 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,631Updated last year
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,806Updated 2 years ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,388Updated 2 years ago
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,703Updated last year
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,085Updated 4 years ago
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,525Updated 5 years ago
• aditya-grover / node2vec
  ☆2,702Updated 3 years ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,040Updated last year
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,326Updated 3 months ago
• palash1992 / GEM
  ☆1,285Updated 2 years ago
• Accenture / AmpliGraph
  Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
  ☆2,226Updated last year
• alibaba / euler
  A distributed graph deep learning framework.
  ☆2,900Updated 2 years ago
• thunlp / KRLPapers
  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
  ☆1,531Updated 4 years ago
• facebookresearch / poincare-embeddings
  PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
  ☆1,740Updated 6 months ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,053Updated 6 months ago
• benedekrozemberczki / karateclub
  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  ☆2,262Updated last year
• tensorflow / ranking
  Learning to Rank in TensorFlow
  ☆2,782Updated last year
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆927Updated 3 years ago
• alibaba / graph-learn
  An Industrial Graph Neural Network Framework
  ☆1,334Updated 4 months ago
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,389Updated last year
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,715Updated 5 years ago
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,290Updated last month
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,273Updated 2 years ago
• graph4ai / graph4nlp
  Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.…
  ☆1,687Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,467Updated 3 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,641Updated 2 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,287Updated last year