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0.5.3
  • Pygmtools: Python Graph Matching Tools
  • Introduction and Guidelines
  • Get Started
  • Numerical Backends
  • Graph Matching Benchmark
  • API and Modules
  • Examples Gallery
    • Introduction of Graph Matching: Matching Isomorphic Graphs
      • Numpy Backend Example: Matching Isomorphic Graphs
      • PyTorch Backend Example: Matching Isomorphic Graphs
      • Jittor Backend Example: Matching Isomorphic Graphs
      • Paddle Backend Example: Matching Isomorphic Graphs
    • Variant of Graph Matching: Seeded Graph Matching
      • Numpy Backend Example: Seeded Graph Matching
      • PyTorch Backend Example: Seeded Graph Matching
      • Jittor Backend Example: Seeded Graph Matching
      • Paddle Backend Example: Seeded Graph Matching
    • Variant of Graph Matching: Discovering Subgraphs
      • Numpy Backend Example: Discovering Subgraphs
      • PyTorch Backend Example: Discovering Subgraphs
      • Jittor Backend Example: Discovering Subgraphs
      • Paddle Backend Example: Discovering Subgraphs
    • Variant of Graph Matching: Multi-Graph Matching
      • Jittor Backend Example: Multi-Graph Matching
      • Numpy Backend Example: Multi-Graph Matching
      • PyTorch Backend Example: Multi-Graph Matching
      • Paddle Backend Example: Multi-Graph Matching
    • Application of Graph Matching: Model Fusion by Graph Matching
      • PyTorch Backend Example: Model Fusion by Graph Matching
      • Jittor Backend Example: Model Fusion by Graph Matching
      • Paddle Backend Example: Model Fusion by Graph Matching
    • Application of Graph Matching: Matching Image Keypoints by QAP Solver
      • Numpy Backend Example: Matching Image Keypoints by QAP Solvers
      • PyTorch Backend Example: Matching Image Keypoints by QAP Solvers
      • Paddle Backend Example: Matching Image Keypoints by QAP Solvers
      • Jittor Backend Example: Matching Image Keypoints by QAP Solvers
    • Application of Graph Matching: Matching Image Keypoints by Graph Matching Neural Network
      • PyTorch Backend Example: Matching Image Keypoints by Graph Matching Neural Networks
      • Jittor Backend Example: Matching Image Keypoints by Graph Matching Neural Networks
      • Paddle Backend Example: Matching Image Keypoints by Graph Matching Neural Networks
  • Contributing to pygmtools: Developer Documentation
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Examples Gallery

Below is the gallery of pygmtools examples. We build the examples from the introduction of graph matching to the variants of graph matching, and finally, we provide examples on the applications of graph matching. In each topic, we provide examples on different numerical backends (e.g., pytorch, numpy, paddle, jittor, tensorflow, mindspore).

Introduction of Graph Matching: Matching Isomorphic Graphs

Numpy Backend Example: Matching Isomorphic Graphs

Numpy Backend Example: Matching Isomorphic Graphs

Numpy Backend Example: Matching Isomorphic Graphs
PyTorch Backend Example: Matching Isomorphic Graphs

PyTorch Backend Example: Matching Isomorphic Graphs

PyTorch Backend Example: Matching Isomorphic Graphs
Jittor Backend Example: Matching Isomorphic Graphs

Jittor Backend Example: Matching Isomorphic Graphs

Jittor Backend Example: Matching Isomorphic Graphs
Paddle Backend Example: Matching Isomorphic Graphs

Paddle Backend Example: Matching Isomorphic Graphs

Paddle Backend Example: Matching Isomorphic Graphs

Variant of Graph Matching: Seeded Graph Matching

Numpy Backend Example: Seeded Graph Matching

Numpy Backend Example: Seeded Graph Matching

Numpy Backend Example: Seeded Graph Matching
PyTorch Backend Example: Seeded Graph Matching

PyTorch Backend Example: Seeded Graph Matching

PyTorch Backend Example: Seeded Graph Matching
Jittor Backend Example: Seeded Graph Matching

Jittor Backend Example: Seeded Graph Matching

Jittor Backend Example: Seeded Graph Matching
Paddle Backend Example: Seeded Graph Matching

Paddle Backend Example: Seeded Graph Matching

Paddle Backend Example: Seeded Graph Matching

Variant of Graph Matching: Discovering Subgraphs

Numpy Backend Example: Discovering Subgraphs

Numpy Backend Example: Discovering Subgraphs

Numpy Backend Example: Discovering Subgraphs
PyTorch Backend Example: Discovering Subgraphs

PyTorch Backend Example: Discovering Subgraphs

PyTorch Backend Example: Discovering Subgraphs
Jittor Backend Example: Discovering Subgraphs

Jittor Backend Example: Discovering Subgraphs

Jittor Backend Example: Discovering Subgraphs
Paddle Backend Example: Discovering Subgraphs

Paddle Backend Example: Discovering Subgraphs

Paddle Backend Example: Discovering Subgraphs

Variant of Graph Matching: Multi-Graph Matching

Jittor Backend Example: Multi-Graph Matching

Jittor Backend Example: Multi-Graph Matching

Jittor Backend Example: Multi-Graph Matching
Numpy Backend Example: Multi-Graph Matching

Numpy Backend Example: Multi-Graph Matching

Numpy Backend Example: Multi-Graph Matching
PyTorch Backend Example: Multi-Graph Matching

PyTorch Backend Example: Multi-Graph Matching

PyTorch Backend Example: Multi-Graph Matching
Paddle Backend Example: Multi-Graph Matching

Paddle Backend Example: Multi-Graph Matching

Paddle Backend Example: Multi-Graph Matching

Application of Graph Matching: Model Fusion by Graph Matching

PyTorch Backend Example: Model Fusion by Graph Matching

PyTorch Backend Example: Model Fusion by Graph Matching

PyTorch Backend Example: Model Fusion by Graph Matching
Jittor Backend Example: Model Fusion by Graph Matching

Jittor Backend Example: Model Fusion by Graph Matching

Jittor Backend Example: Model Fusion by Graph Matching
Paddle Backend Example: Model Fusion by Graph Matching

Paddle Backend Example: Model Fusion by Graph Matching

Paddle Backend Example: Model Fusion by Graph Matching

Application of Graph Matching: Matching Image Keypoints by QAP Solver

Numpy Backend Example: Matching Image Keypoints by QAP Solvers

Numpy Backend Example: Matching Image Keypoints by QAP Solvers

Numpy Backend Example: Matching Image Keypoints by QAP Solvers
PyTorch Backend Example: Matching Image Keypoints by QAP Solvers

PyTorch Backend Example: Matching Image Keypoints by QAP Solvers

PyTorch Backend Example: Matching Image Keypoints by QAP Solvers
Paddle Backend Example: Matching Image Keypoints by QAP Solvers

Paddle Backend Example: Matching Image Keypoints by QAP Solvers

Paddle Backend Example: Matching Image Keypoints by QAP Solvers
Jittor Backend Example: Matching Image Keypoints by QAP Solvers

Jittor Backend Example: Matching Image Keypoints by QAP Solvers

Jittor Backend Example: Matching Image Keypoints by QAP Solvers

Application of Graph Matching: Matching Image Keypoints by Graph Matching Neural Network

PyTorch Backend Example: Matching Image Keypoints by Graph Matching Neural Networks

PyTorch Backend Example: Matching Image Keypoints by Graph Matching Neural Networks

PyTorch Backend Example: Matching Image Keypoints by Graph Matching Neural Networks
Jittor Backend Example: Matching Image Keypoints by Graph Matching Neural Networks

Jittor Backend Example: Matching Image Keypoints by Graph Matching Neural Networks

Jittor Backend Example: Matching Image Keypoints by Graph Matching Neural Networks
Paddle Backend Example: Matching Image Keypoints by Graph Matching Neural Networks

Paddle Backend Example: Matching Image Keypoints by Graph Matching Neural Networks

Paddle Backend Example: Matching Image Keypoints by Graph Matching Neural Networks

Download all examples in Python source code: auto_examples_python.zip

Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

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