gordicaleksa/pytorch-GAT resource
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples! observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2076
- days_rel: n/a
- days_push: 1385
- n_releases_24m: 0
Adoption not part of the score
2683 stars · 357 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A PyTorch implementation of the Graph Attention Network (GAT) paper by Veličković et al., built as an educational resource for learning about graph neural networks. It includes visualization tools for the Cora and PPI datasets, attention mechanisms, t-SNE embeddings, and entropy histograms.
Use cases
- learn how graph attention networks work
- implement GAT from the original paper in pytorch
- visualize the Cora citation dataset
- understand attention mechanisms in graph neural networks
- train a GNN on node classification tasks
- study transductive and inductive graph learning examples
When to choose
- you want to learn GNNs and GAT with well-commented educational code
- you need a reference PyTorch implementation of the GAT paper
- you want to visualize graph datasets and attention patterns
When to avoid
- you need a production-ready or highly optimized GNN library
- you need support for many GNN architectures beyond GAT
- you want a maintained framework with frequent updates
Facets
learning-resource · maturity maintenance
machine-learning deep-learning data-visualization deep-learning machine-learning tutorials education python graph-neural-networks graph-attention-networks pytorch cora ppi attention-mechanism gnn jupyter-notebook gpu
2 sources
- readme: https://github.com/gordicaleksa/pytorch-GAT · fetched 2026-08-28 · 5a1ca9aeec86
- homepage: https://youtube.com/c/TheAIEpiphany · fetched 2026-08-29 · a49038ff34c1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| gordicaleksa/pytorch-GAT | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="gordicaleksa/pytorch-GAT")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem