What is cugraph-dgl?


Thanks for answering my other question.
I have another newbie question what is cugraph-dgl?

cugraph-dgl is particularly useful for graph analytics tasks that require both graph operations and GNN modeling, such as node classification, link prediction, and graph classification. The combination of efficient graph operations in cuGraph and scalable GNN modeling in DGL allows for fast and accurate training of GNNs on large-scale graph data.

Overall, cugraph-dgl is a powerful tool for graph analytics and GNN modeling on GPU-accelerated hardware, providing a comprehensive solution for graph-based machine learning applications.

1 Like

Thanks !

Thanks, I shall have to read up on that - thanks.

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.