# baldassarreFe/graph-network-explainability

<https://repo.masters-masters.com/en/repos/baldassarreFe/graph-network-explainability>

[Home](https://repo.masters-masters.com/en) › [baldassarreFe](https://repo.masters-masters.com/en/owners/baldassarreFe) › [graph-network-explainability](https://repo.masters-masters.com/en/repos/baldassarreFe/graph-network-explainability)

baldassarreFe/graph-network-explainability has 127 stars on GitHub. Its RepoMasters card: Prototype tier. Explainability techniques for Graph Networks…

| Field | Value |
| --- | --- |
| Owner | [baldassarreFe](https://repo.masters-masters.com/en/owners/baldassarreFe) |
| Stars | 127 |
| Forks | 16 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2019 |
| Topics | graph-networks, explainability, bioinformatics, artificial-intelligence |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [baldassarreFe/graph-network-explainability](https://github.com/baldassarreFe/graph-network-explainability) |

## Repository

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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