# FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling

<https://repo.masters-masters.com/en/repos/FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling>

[Home](https://repo.masters-masters.com/en) › [FilippoMB](https://repo.masters-masters.com/en/owners/FilippoMB) › [Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling](https://repo.masters-masters.com/en/repos/FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling)

FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling has 278 stars on GitHub. Its RepoMasters card: Alpha tier. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [FilippoMB](https://repo.masters-masters.com/en/owners/FilippoMB) |
| Stars | 278 |
| Forks | 54 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | graph-neural-networks, graph-pooling, spectral-clustering, unsupervised-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling](https://github.com/FilippoMB/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling) |

## Repository

Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling".

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by FilippoMB

- [FilippoMB/Time-series-classification-and-clustering-with-Reservoir-Computing · ★ 431 · Python · Alpha](https://repo.masters-masters.com/en/repos/FilippoMB/Time-series-classification-and-clustering-with-Reservoir-Computing)
- [FilippoMB/python-time-series-handbook · ★ 287 · Jupyter Notebook · Alpha](https://repo.masters-masters.com/en/repos/FilippoMB/python-time-series-handbook)
- [FilippoMB/Diffusion\_models\_tutorial · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/FilippoMB/Diffusion_models_tutorial)
- [FilippoMB/Ensemble-Conformalized-Quantile-Regression · ★ 104 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/FilippoMB/Ensemble-Conformalized-Quantile-Regression)

## Nearby in Python

- [intertwine/dspy-agent-skills · ★ 278 · Python · Alpha](https://repo.masters-masters.com/en/repos/intertwine/dspy-agent-skills)
- [tonbistudio/buzz-skills · ★ 278 · Python · Alpha](https://repo.masters-masters.com/en/repos/tonbistudio/buzz-skills)
- [galleonlabs/hypergrok-trading-desk · ★ 278 · Python · Alpha](https://repo.masters-masters.com/en/repos/galleonlabs/hypergrok-trading-desk)
- [rickysarraf/apt-offline · ★ 278 · Python · Alpha](https://repo.masters-masters.com/en/repos/rickysarraf/apt-offline)
- [ionelmc/django-redisboard · ★ 278 · Python · Alpha](https://repo.masters-masters.com/en/repos/ionelmc/django-redisboard)
- [rkulla/pydiction · ★ 278 · Python · Alpha](https://repo.masters-masters.com/en/repos/rkulla/pydiction)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.