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https://github.com/Lin-Yijie/Graph-Matching-Networks
PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).
https://github.com/Lin-Yijie/Graph-Matching-Networks
deep-learning gnn graph-neural-networks pytorch
Last synced: about 1 month ago
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PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).
- Host: GitHub
- URL: https://github.com/Lin-Yijie/Graph-Matching-Networks
- Owner: Lin-Yijie
- License: other
- Created: 2020-11-24T07:55:17.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2023-07-30T08:29:46.000Z (over 1 year ago)
- Last Synced: 2024-08-01T13:20:02.081Z (4 months ago)
- Topics: deep-learning, gnn, graph-neural-networks, pytorch
- Language: Python
- Homepage:
- Size: 19.8 MB
- Stars: 276
- Watchers: 3
- Forks: 55
- Open Issues: 5
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Graph Matching Networks
[![LICENSE](https://img.shields.io/badge/license-MIT-green)](https://github.com/Lin-Yijie/Graph-Matching-Networks/blob/main/LICENSE)
![last commit](https://img.shields.io/github/last-commit/Lin-Yijie/Graph-Matching-Networks)In this repo, a number of implementations of Graph Matching algorithms are provided.
> Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng. *Graph Matching with Bi-level Noisy Correspondence*. ICCV, 2023. [[paper]](https://arxiv.org/pdf/2212.04085.pdf) [[code\]](https://github.com/Lin-Yijie/Graph-Matching-Networks/tree/main/COMMON).> Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli. *Graph Matching Networks for Learning the Similarity of Graph Structured Objects*. ICML 2019. [[paper\]](https://arxiv.org/abs/1904.12787) [[code\]](https://github.com/Lin-Yijie/Graph-Matching-Networks/tree/main/GMN).