2026
Differentiable Spectral Normalization for Large-Scale Ising Optimization
IJCAI 2026
Spectral relaxation is widely used for large-scale combinatorial optimization due to its computational efficiency. Yet its effectiveness depends critically on the choice of graph normalization, a design decision typically made heuristically. Here, we show that normalization can be treated as a conti