Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

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
JSON representation

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).

Awesome Lists containing this project

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).