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This is a **reimplementation** of the ICLR 2019 paper "Graph Matching Networks for Learning the Similarity of Graph Structured Objects" (Li et al.) in PyTorch.

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README.md		README.md
__init__.py		__init__.py
layers.py		layers.py
models.py		models.py
utils.py		utils.py

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Graph Matching Networks

This is a reimplementation of the ICLR 2019 paper Graph Matching Networks for Learning the Similarity of Graph Structured Objects (Li et al.) in PyTorch.

Note: I'm not one of the original authors.

Requirements

torch >= 1.6.0
torch_geometric (Installation guide)

Instructions

Install the requirements
Import the models from models.py

References:

Official Colab notebook (using TensorFlow 1.0 and Sonnet)
A repo that adaps the official notebook to python files

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This is a **reimplementation** of the ICLR 2019 paper "Graph Matching Networks for Learning the Similarity of Graph Structured Objects" (Li et al.) in PyTorch.

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