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Title: GitHub - DeepColin/GraphSAGE: Representation learning on large graphs using stochastic graph convolutions. · GitHub

Open Graph Title: GitHub - DeepColin/GraphSAGE: Representation learning on large graphs using stochastic graph convolutions.

X Title: GitHub - DeepColin/GraphSAGE: Representation learning on large graphs using stochastic graph convolutions.

Description: Representation learning on large graphs using stochastic graph convolutions. - DeepColin/GraphSAGE

Open Graph Description: Representation learning on large graphs using stochastic graph convolutions. - DeepColin/GraphSAGE

X Description: Representation learning on large graphs using stochastic graph convolutions. - DeepColin/GraphSAGE

Mail addresses
wleif@stanford.edu
rexying@stanford.edu

Opengraph URL: https://github.com/DeepColin/GraphSAGE

X: @github

direct link

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README	https://github.com/DeepColin/GraphSAGE
License	https://github.com/DeepColin/GraphSAGE
	https://github.com/DeepColin/GraphSAGE#graphsage-representation-learning-on-large-graphs
William L. Hamilton	http://stanford.edu/~wleif
Rex Ying	http://joy-of-thinking.weebly.com/
	https://github.com/DeepColin/GraphSAGE#authors-william-l-hamilton-wleifstanfordedu-rex-ying-rexyingstanfordedu
Project Website	http://snap.stanford.edu/graphsage/
	https://github.com/DeepColin/GraphSAGE#project-website
Alternative reference PyTorch implementation	https://github.com/williamleif/graphsage-simple/
	https://github.com/DeepColin/GraphSAGE#alternative-reference-pytorch-implementation
	https://github.com/DeepColin/GraphSAGE#overview
paper	https://arxiv.org/pdf/1706.02216.pdf
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	https://github.com/DeepColin/GraphSAGE#requirements
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	https://github.com/DeepColin/GraphSAGE#running-the-code
	https://github.com/DeepColin/GraphSAGE#input-format
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	https://github.com/DeepColin/GraphSAGE#logging-directory
	https://github.com/DeepColin/GraphSAGE#using-the-output-of-the-unsupervised-models
	https://github.com/DeepColin/GraphSAGE#acknowledgements
https://github.com/tkipf/gcn/	https://github.com/tkipf/gcn/
paper	https://arxiv.org/pdf/1706.02216.pdf
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