A Framework for Graph-Conditioned Hierarchical Shapley Attribution in Patent Valuation
Researchers introduce PatentXAI, a framework using Shapley values and graph-conditioned Markov Blankets to fairly allocate patent valuations within complex products containing thousands of patents. The method scales computationally by restricting coalition analysis to relevant patent subsets, achieving sub-100 millisecond processing times while maintaining accuracy within 6.2% of Monte Carlo benchmarks.