Pygmtools

Latest version: v0.5.2

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0.3.3

What's Changed
* Preliminary support of TensorFlow backend by Sheep-Yangn in https://github.com/Thinklab-SJTU/pygmtools/pull/17 and by rogerwwww in https://github.com/Thinklab-SJTU/pygmtools/pull/24
* Add multi-graph solvers for Numpy backend by heatingma in https://github.com/Thinklab-SJTU/pygmtools/pull/23
* Add example for gradient support of Jittor by wzever in https://github.com/Thinklab-SJTU/pygmtools/pull/28
* Fix type error for sinkhorn of Jittor by wzever in https://github.com/Thinklab-SJTU/pygmtools/pull/29

New Contributors
* Sheep-Yangn made their first contribution in https://github.com/Thinklab-SJTU/pygmtools/pull/17
* heatingma made their first contribution in https://github.com/Thinklab-SJTU/pygmtools/pull/23
* dependabot made their first contribution in https://github.com/Thinklab-SJTU/pygmtools/pull/26

**Full Changelog**: https://github.com/Thinklab-SJTU/pygmtools/compare/0.3.2...0.3.3

0.3.2

What's Changed
* Add multigraph solver for paddle backend by Arist12 in https://github.com/Thinklab-SJTU/pygmtools/pull/12
* Add multigraph solvers for jittor backend by wzever in https://github.com/Thinklab-SJTU/pygmtools/pull/16
* Add jittor examples by wzever in https://github.com/Thinklab-SJTU/pygmtools/pull/18
* Fix mode names in CAO and Floyd MGM solvers

**Full Changelog**: https://github.com/Thinklab-SJTU/pygmtools/compare/0.3.1...0.3.2

0.3.1

What's Changed
* Fix documentation & typos
* Fix device error in Sinkhorn (pytorch backend)

**Full Changelog**: https://github.com/Thinklab-SJTU/pygmtools/compare/0.3.0...0.3.1

0.3.0

What's Changed
* Add neural network solvers for Jittor backend by wzever in https://github.com/Thinklab-SJTU/pygmtools/pull/11
* Support non-maximal inlier matching for linear solvers
* Add examples (PyTorch backend):
* Image matching
* Subgraph matching
* Model fusion
* Seeded graph matching
* Bug fixes

**Full Changelog**: https://github.com/Thinklab-SJTU/pygmtools/compare/0.2.11...0.3.0

0.2.11

What's changed

* adopt a better caching mechanism & resolve outlier label issue (for dataset loaders and benchmarks)
* add sphinx auto-examples (matching isomorphic graphs)
* fix affinity matrix for unbalanced edges

**Full Changelog**: https://github.com/Thinklab-SJTU/pygmtools/compare/0.2.10...0.2.11

0.2.10

What's Changed
* Fix the bug that customized dataset parameters cannot be passed to datasets
* Revise parameters passed to datasets. Now the class and data directory can also be customized

**Full Changelog**: https://github.com/Thinklab-SJTU/pygmtools/compare/0.2.9...0.2.10

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