Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems

Documenti analoghi

• GCoDE: Efficient Device-Edge Co-Inference for GNNs via Architecture-Mapping Co-Search
  di: Zhou, Ao, et al.
  Pubblicazione: (2025)
• HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge Devices
  di: Zhou, Ao, et al.
  Pubblicazione: (2024)
• GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration
  di: Qiao, Tong, et al.
  Pubblicazione: (2024)
• ACE-GNN: Adaptive GNN Co-Inference with System-Aware Scheduling in Dynamic Edge Environments
  di: Zhou, Ao, et al.
  Pubblicazione: (2025)
• Towards Affordable, Adaptive and Automatic GNN Training on CPU-GPU Heterogeneous Platforms
  di: Qiao, Tong, et al.
  Pubblicazione: (2025)