Graph Nns

8 resources · page 1 of 1

• DGL

  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

• Geometric Deep Learning (Bronstein et al.)

  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

• Graph Network-based Simulators

  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

• PyTorch Geometric

  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

• GAT

  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

• GCN

  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

• GraphSAGE

  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

• Relational inductive biases, deep learning, and graph networks

  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

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