# AntonioLonga/PytorchGeometricTutorial

Pytorch Geometric Tutorials

Repository: https://github.com/AntonioLonga/PytorchGeometricTutorial
Canonical: https://ross.abutalabs.com/products/pytorchgeometrictutorial
Language: Jupyter Notebook
License Family: other
Last push: 2026-02-06T13:34:19+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 66, release rhythm 8, longevity 100
- inputs: {"age_days": 2027, "days_push": 208, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1173, forks 330 (observed 2026-08-28T04:03:51.932648+00:00)

## What it is
A collection of Jupyter Notebook tutorials and accompanying YouTube videos on Geometric Deep Learning using the PyTorch Geometric library. It covers topics like GATs, spectral convolutions, graph autoencoders, and graph generation.

## Use cases
- learn graph neural networks with pytorch geometric
- understand graph attention networks
- implement graph autoencoders
- get started with geometric deep learning
- find pytorch geometric code examples
- learn spectral graph convolution methods

## When to choose
- you want guided tutorials with videos and runnable notebooks for PyTorch Geometric
- you are learning GNNs from scratch and want practical implementations
- you prefer Colab-ready notebooks to experiment with graph deep learning

## When to avoid
- you need production-ready GNN code or a maintained library
- you need a licensed codebase for redistribution since no license is provided
- you want comprehensive documentation rather than tutorial notebooks

## Facets
- artifact type: learning-resource
- maturity: active
- function: deep-learning, machine-learning
- domain: deep-learning, machine-learning, tutorials
- platform: python
- tags: pytorch-geometric, graph-neural-networks, geometric-deep-learning, jupyter-notebooks, video-tutorials

## Member repositories
- AntonioLonga/PytorchGeometricTutorial (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:51.932648+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:28:20.204017+00:00, confidence not recorded.
  - readme: https://github.com/AntonioLonga/PytorchGeometricTutorial (fetched 2026-08-28T04:03:51.932648+00:00, sha 76b1b592b2a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.