AutoGNN: End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance

Seungkwan Kang, Seungjun Lee, Donghyun Gouk +9

Graph neural network (GNN) inference faces significant bottlenecks in preprocessing, which often dominate overall inference latency. We introduce AutoGNN, an FPGA-based accelerator…