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20202023
most citedPyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses

3 citations · 10 across the 5 of their papers we have counts for

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cs.DC2023★ 3 cited

Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures

Kun Wu, Mert Hidayetoğlu, Xiang Song +4

Relational graph neural networks (RGNNs) are graph neural networks with dedicated structures for modeling the different types of nodes and edges in heterogeneous graphs. While RGNN…