---
id: "/tags/graph-nns/"
title: "Graph Nns"
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url: "https://skillissue.dev/tags/graph-nns/"
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# Graph Nns

[Beginner](/levels/beginner/index.md) [Intermediate](/levels/intermediate/index.md) [Advanced](/levels/advanced/index.md) [Expert](/levels/expert/index.md)

8 resources · page 1 of 1

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### [DGL](/foundations/llm-fundamentals/dgl/index.md)

Creator not supplied; see original source.

Deep Graph Library (DGL): framework for deep learning on graphs, with docs and examples.

Not applicable (entity) · unknown · unknown resource · en 

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### [Geometric Deep Learning (Bronstein et al.)](/foundations/llm-fundamentals/geometric-deep-learning-bronstein-et-al/index.md)

Creator not supplied; see original source.

Geometric Deep Learning site (Bronstein et al.): proto-book and lectures on grids, groups, graphs and geodesics.

Not applicable (entity) · unknown · unknown resource · und 

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### [Graph Network-based Simulators](/foundations/llm-fundamentals/graph-network-based-simulators/index.md)

Creator not supplied; see original source.

DeepMind learning_to_simulate code on GitHub: graph network-based simulators for particle physics.

Not applicable (entity) · unknown · unknown resource · en 

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### [PyTorch Geometric](/foundations/llm-fundamentals/pytorch-geometric/index.md)

Creator not supplied; see original source.

PyTorch Geometric (PyG) documentation: library for building and training graph neural networks.

Not applicable (entity) · unknown · unknown resource · en 

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### [GAT](/foundations/llm-fundamentals/gat/index.md)

Creator not supplied; see original source.

arXiv paper (2017) "Graph Attention Networks", introducing GAT, which weights neighbour nodes with masked self-attention.

Advanced–Expert · unknown · unknown resource · en 

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### [GCN](/foundations/llm-fundamentals/gcn/index.md)

Creator not supplied; see original source.

arXiv paper (2016) "Semi-Supervised Classification with Graph Convolutional Networks", introducing GCN layers for node classification.

Advanced–Expert · unknown · unknown resource · en 

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### [GraphSAGE](/foundations/llm-fundamentals/graphsage/index.md)

Creator not supplied; see original source.

arXiv paper (2017) "Inductive Representation Learning on Large Graphs", introducing GraphSAGE for inductive node embeddings.

Advanced–Expert · unknown · unknown resource · en 

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### [Relational inductive biases, deep learning, and graph networks](/foundations/llm-fundamentals/relational-inductive-biases-graph-networks/index.md)

Creator not supplied; see original source.

arXiv paper (2018) "Relational inductive biases, deep learning, and graph networks", defining the graph network block that unifies many GNN variants.

Advanced–Expert · unknown · unknown resource · en 

[Plain-text Markdown copy](/tags/graph-nns/index.md)