most citedGenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

9 citations · 12 across the 5 of their papers we have counts for

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cs.DC2022★ 2 cited

FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference

Rishov Sarkar, Stefan Abi-Karam, Yuqi He +2

Graph neural networks (GNNs) have recently exploded in popularity thanks to their broad applicability to graph-related problems such as quantum chemistry, drug discovery, and high…