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20202026
most citedHardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA

3 citations · 4 across the 8 of their papers we have counts for

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Showing 2026 · cs.LGShow all

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cs.LG2026

Hardware-accelerated graph neural networks: an alternative approach for neuromorphic event-based audio classification and keyword spotting on SoC FPGA

Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut +6

As the volume of data recorded by embedded edge sensors increases, particularly from neuromorphic devices producing discrete event streams, there is a growing need for hardware-awa…