A hybrid pipeline that uses annealing-machine solutions on Louvain-compressed graphs to initialize a graph neural network improves solution quality on large MaxCut, MIS, and graph partitioning instances beyond the annealer's native size limit.
Clustering approach for solving traveling salesman problems via ising model based solver
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Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization
A hybrid pipeline that uses annealing-machine solutions on Louvain-compressed graphs to initialize a graph neural network improves solution quality on large MaxCut, MIS, and graph partitioning instances beyond the annealer's native size limit.