Building Smaller Graph Neural Networks for Edge Healthcare Systems

How I explored INT8 quantization, biological graphs, and CPU-only inference using PyTorch Geometric. Healthcare AI is often discussed in terms of massive cloud infrastructure and expensive GPUs. But many real-world systems do not operate inside large datacenters. Small clinics, portable medical systems, rural deployments, and edge diagnostic devices frequently depend on: low-power CPUs limited memory unstable connectivity compact hardware environments That raises an important engineering questio