ESR-HGNN: Eliminating Semantic Redundancy for Efficient Mini-batch HGNN Inference

Dengke Han, Mingyu Yan, Duo Wang +3

Heterogeneous graph neural networks (HGNNs) are highly effective in processing heterogeneous graph data and have been widely adopted in critical domains. As real-world graph data c…