GNN adaptive co-inference paper is accepted by TCAD 2025!

👏 Paper title: ACE-GNN: Adaptive GNN Co-Inference with System-Aware Scheduling in Dynamic Edge Environments. In this work, we present ACE-GNN, the first adaptive GNN co-inference framework for dynamic edge environments. By integrating system-level abstraction with novel prediction methods, ACE-GNN enables rapid runtime scheme optimization and adaptive scheduling between pipeline and data parallelism. Coupled with efficient batching and specialized communication middleware, ACE-GNN achieves up to 12.7× speedup and 82.3% energy savings, significantly outperforming existing co-inference solutions. [related project]