Graph neural networks (GNNs) suffer from low GPU utilization due to frequent memory
accesses. Existing concurrent training mechanisms cannot be directly adapted to GNNs …

Sparse compiler is a promising solution for sparse tensor algebra optimization. In compiler
implementation, reduction in sparse-dense hybrid algebra plays a key role in performance …

In recent years, graph neural networks (GNNs) have achieved impressive performance in
various application fields by extracting information from graph-structured data. It contains …