Open access
Oct 2026
ReHGNN: A Digital-Analog Processing-in-Memory Architecture for Sparse-Dense Matrix Multiplication in Hypergraph Neural Networks
ReHGNN is presented, the first hybrid digital/analog PIM architecture for HGNN inference, and a greedy heuristic algorithm is proposed to further improve the utilization of ReRAM resource.
Wei-Dong He, Hai-Kun Liu, Zhuo-Hui Duan et al.
· ACM Transactions on Architec... · 0 citations