Alternatives and similar repositories for DIG

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

• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,032Updated 4 months ago
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,831Updated last year
• snap-stanford / pretrain-gnns
  Strategies for Pre-training Graph Neural Networks
  ☆1,036Updated 2 years ago
• ChandlerBang / awesome-self-supervised-gnn
  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
  ☆1,684Updated last year
• graphdeeplearning / graphtransformer
  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
  ☆994Updated 4 years ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks (JMLR 2023)
  ☆2,623Updated 2 years ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆997Updated last year
• microsoft / Graphormer
  Graphormer is a general-purpose deep learning backbone for molecular modeling.
  ☆2,342Updated last year
• flyingdoog / awesome-graph-explainability-papers
  Papers about explainability of GNNs
  ☆752Updated 4 months ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆566Updated last year
• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,099Updated last year
• rampasek / GraphGPS
  Recipe for a General, Powerful, Scalable Graph Transformer
  ☆770Updated last year
• weihua916 / powerful-gnns
  How Powerful are Graph Neural Networks?
  ☆1,243Updated 4 years ago
• AntonioLonga / PytorchGeometricTutorial
  Pytorch Geometric Tutorials
  ☆1,130Updated 2 years ago
• wehos / awesome-graph-transformer
  Papers about graph transformers.
  ☆908Updated 5 months ago
• daiquocnguyen / Graph-Transformer
  Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
  ☆675Updated 3 years ago
• PyGCL / PyGCL
  PyGCL: A PyTorch Library for Graph Contrastive Learning
  ☆948Updated last year
• seongjunyun / Graph_Transformer_Networks
  Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
  ☆1,048Updated 2 years ago
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,214Updated 5 months ago
• acbull / pyHGT
  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
  ☆865Updated last year
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,795Updated last year
• chaitjo / efficient-gnns
  Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
  ☆534Updated 2 years ago
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆395Updated last year
• TrustAGI-Lab / Awesome-Graph-Neural-Networks
  Paper Lists for Graph Neural Networks
  ☆2,271Updated 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…
  ☆2,590Updated 2 years ago
• EdisonLeeeee / GraphGallery
  GraphGallery is a gallery for benchmarking Graph Neural Networks
  ☆469Updated 2 years ago
• HazyResearch / hgcn
  Hyperbolic Graph Convolutional Networks in PyTorch.
  ☆642Updated last year
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆353Updated 3 months ago
• benedekrozemberczki / pytorch_geometric_temporal
  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
  ☆2,864Updated 2 weeks ago
• THUMNLab / AutoGL
  An autoML framework & toolkit for machine learning on graphs.
  ☆1,117Updated last year