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20172026
most citedFast Graph Representation Learning with PyTorch Geometric

1.3k citations · 1.5k across the 47 of their papers we have counts for

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cs.LG2021★ 11 cited

GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings

Matthias Fey, Jan E. Lenssen, Frank Weichert +1

We present GNNAutoScale (GAS), a framework for scaling arbitrary message-passing GNNs to large graphs. GAS prunes entire sub-trees of the computation graph by utilizing historical…