Alternatives and similar repositories for dgl

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

• pyg-team / pytorch_geometric
  Graph Neural Network Library for PyTorch
  ☆22,907Updated this week
• thunlp / GNNPapers
  Must-read papers on graph neural networks (GNN)
  ☆16,577Updated last year
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,309Updated 2 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,625Updated 2 years ago
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆4,964Updated 2 weeks ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,595Updated last year
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,420Updated 3 years ago
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,793Updated 2 years ago
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,350Updated 5 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,274Updated last year
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,386Updated 2 years ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,411Updated last year
• Diego999 / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆3,064Updated 2 years ago
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,027Updated last year
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,818Updated last year
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,033Updated 4 months ago
• gordicaleksa / pytorch-GAT
  My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…
  ☆2,593Updated 2 years ago
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,799Updated last year
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,835Updated last year
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,083Updated 4 years ago
• divelab / DIG
  A library for graph deep learning research
  ☆1,986Updated last year
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,383Updated last year
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,712Updated 5 years ago
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,732Updated 2 years ago
• benedekrozemberczki / pytorch_geometric_temporal
  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
  ☆2,871Updated this week
• microsoft / Graphormer
  Graphormer is a general-purpose deep learning backbone for molecular modeling.
  ☆2,343Updated last year
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,214Updated 5 months ago
• aditya-grover / node2vec
  ☆2,692Updated 3 years ago
• benedekrozemberczki / karateclub
  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
  ☆2,248Updated last year
• FighterLYL / GraphNeuralNetwork
  《深入浅出图神经网络：GNN原理解析》配套代码
  ☆1,873Updated 4 years ago