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5 models· Graph and Network Models, Translation & Localization

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by DeepL · 0 reviews

An AI translation service using neural networks to deliver accurate multilingual translations with formatting preservation across many languages.

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GraphSAGE

by Stanford University · 0 reviews

An inductive representation learning framework for large graphs that samples and aggregates node features from local neighborhoods, enabling embeddings for unseen nodes.

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Graph Attention Networks (GAT)

by Mila / University of Cambridge · 0 reviews

A neural network architecture using masked self-attention on graph-structured data, learning different weights for different neighbor nodes.

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Deep Graph Library (DGL)

by Amazon Web Services · 0 reviews

A framework for deep learning on graphs supporting PyTorch and TensorFlow, with optimized message passing primitives and distributed training.

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Graph Convolutional Networks (GCN)

by University of Amsterdam · 0 reviews

A neural network architecture for semi-supervised learning on graph-structured data using efficient spectral approximations.

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