Alternatives and similar repositories for GNNPapers

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

• dmlc / dgl
  Python package built to ease deep learning on graph, on top of existing DL frameworks.
  ☆14,232Updated 6 months ago
• naganandy / graph-based-deep-learning-literature
  links to conference publications in graph-based deep learning
  ☆5,019Updated this week
• tkipf / pygcn
  Graph Convolutional Networks in PyTorch
  ☆5,397Updated 5 years ago
• pyg-team / pytorch_geometric
  Graph Neural Network Library for PyTorch
  ☆23,469Updated this week
• tkipf / gcn
  Implementation of Graph Convolutional Networks in TensorFlow
  ☆7,357Updated 2 years ago
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,295Updated 2 years ago
• DeepGraphLearning / LiteratureDL4Graph
  A comprehensive collection of recent papers on graph deep learning
  ☆3,080Updated 5 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,650Updated 2 years ago
• PetarV- / GAT
  Graph Attention Networks (https://arxiv.org/abs/1710.10903)
  ☆3,498Updated 3 years ago
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,809Updated 2 years ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,653Updated last year
• 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…
  ☆2,651Updated 3 years ago
• diegoantognini / pyGAT
  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
  ☆3,116Updated 2 years ago
• google-deepmind / graph_nets
  Build Graph Nets in Tensorflow
  ☆5,393Updated 3 years ago
• FighterLYL / GraphNeuralNetwork
  《深入浅出图神经网络：GNN原理解析》配套代码
  ☆1,912Updated 4 years ago
• thunlp / NRLPapers
  Must-read papers on network representation learning (NRL) / network embedding (NE)
  ☆2,522Updated 5 years ago
• shenweichen / GraphEmbedding
  Implementation and experiments of graph embedding algorithms.
  ☆3,840Updated last year
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,869Updated 2 years ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,071Updated 9 months ago
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,817Updated 2 years ago
• benedekrozemberczki / CapsGNN
  A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
  ☆1,279Updated 2 years ago
• microsoft / Graphormer
  Graphormer is a general-purpose deep learning backbone for molecular modeling.
  ☆2,421Updated last year
• LYuhang / GNN_Review
  GNN综述阅读报告
  ☆925Updated 4 years ago
• jason718 / awesome-self-supervised-learning
  A curated list of awesome self-supervised methods
  ☆6,361Updated last year
• harvardnlp / annotated-transformer
  An annotated implementation of the Transformer paper.
  ☆6,993Updated last year
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,987Updated last week
• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆3,043Updated last year
• dair-ai / ml-visuals
  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
  ☆16,876Updated 2 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,230Updated 10 months ago
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,271Updated 4 years ago