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Python package built to ease deep learning on graph, on top of existing DL frameworks.

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Model Examples using DGL (w/ MXNet backend)

use DGLBACKEND=mxnet to use MXNet as DGL's backend

Examples:

DGLBACKEND=mxnet python gcn_batch.py --dataset cora
DGLBACKEND=mxnet python gat_batch.py --dataset cora

Each model is hosted in their own folders. Please read their README.md to see how to run them.

To understand step-by-step how these models are implemented in DGL. Check out our tutorials

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Python package built to ease deep learning on graph, on top of existing DL frameworks.

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