MRH-GCN: an Efficient GCN Accelerator for Multi-Relation Heterogeneous Graph
FCCM（2024）
关键词
Heterogeneous Graph,Computation Time,Computational Efficiency,Sparse Data,Representation Learning,Feature Matrix,Graph Convolutional Network,Data Reuse,Hardware Accelerators,Compression Algorithm,On-chip Memory,Complex Network Model,Massive Volumes Of Data,Energy Efficiency,Weight Matrix,Types Of Relationships,Density Data,Sparse Matrix,Intermediate Results,Nonzero Elements,Stages Of Aggregation,Node Embeddings,Design Space Exploration,Types Of Nodes,Hardware Architecture,Multiple Cores,Node Features,Source Node,Computing Units,Memory Control
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