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
  ☆1,256Updated last year
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,567Updated last year
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,792Updated 2 years ago
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,612Updated 4 years ago
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,730Updated 2 years ago
• Accenture / AmpliGraph
  Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
  ☆2,218Updated 9 months ago
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,316Updated 2 weeks ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,385Updated 2 years ago
• aditya-grover / node2vec
  ☆2,684Updated 3 years ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,021Updated last year
• palash1992 / GEM
  ☆1,286Updated last year
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,084Updated 4 years ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,025Updated 3 months ago
• thunlp / OpenNE
  An Open-Source Package for Network Embedding (NE)
  ☆1,701Updated last year
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,522Updated 5 years ago
• facebookresearch / poincare-embeddings
  PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
  ☆1,730Updated 2 months ago
• alibaba / euler
  A distributed graph deep learning framework.
  ☆2,898Updated 2 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,617Updated 2 years ago
• thunlp / KRLPapers
  Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)
  ☆1,530Updated 3 years ago
• tensorflow / neural-structured-learning
  Training neural models with structured signals.
  ☆1,006Updated 6 months ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,711Updated 5 years ago
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,276Updated last year
• benedekrozemberczki / karateclub
  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  ☆2,246Updated last year
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆924Updated 2 years ago
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,380Updated last year
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,952Updated last month
• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆14,034Updated 3 weeks ago
• tensorflow / ranking
  Learning to Rank in TensorFlow
  ☆2,781Updated last year
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,265Updated 2 years ago
• alibaba / graph-learn
  An Industrial Graph Neural Network Framework
  ☆1,323Updated last month