GNN co-inference paper is accepted by DAC 2024!

👏 Paper title: Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems. In this paper, we abstract the communication process in device-edge co-inference into a specific operation, creating a unified design space for GNN architecture and co-inference schemes. Using random search, we achieve joint optimization, leading to a GNN architecture that integrates partitioning schemes, enabling a trade-off between communication and computation, and outperforming SOTA methods. [related project]