2026
R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII
CVPR 2026
Graph neural networks (GNNs) are increasingly applied to physical design tasks such as congestion prediction and wirelength estimation, yet progress is hindered by inconsistent circuit representations and the absence of controlled evaluation protocols. We present R2G (RTL-to-GDSII), a multi-view cir