HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation

Runzhen Xue, Dengke Han, Mingyu Yan +8

Heterogeneous graph neural networks (HGNNs) have emerged as powerful algorithms for processing heterogeneous graphs (HetGs), widely used in many critical fields. To capture both st…