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DecGNN: a framework for mapping decoupled GNN models onto CPU-FPGA heterogeneous platform
Decoupling the depth and scope of Graph Neural Networks
Accelerating large scale real-time GNN inference using channel pruning
Accurate, efficient and scalable training of Graph Neural Networks
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Hardware acceleration of large scale GCN inference
VTR 8: High-performance CAD and customizable FPGA architecture modelling
Accelerating large scale GCN inference on FPGA
GraphSAINT: Graph sampling based inductive learning method
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