AHS-NPE is a scalable amortised hierarchical sequential neural posterior estimation method that fits multiple-network ERGMs to 586 resting-state fMRI networks and reproduces known aging-related connectivity differences.
Same but different: A comparison of estimation approaches for exponential random graph models for multiple networks
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A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience
AHS-NPE is a scalable amortised hierarchical sequential neural posterior estimation method that fits multiple-network ERGMs to 586 resting-state fMRI networks and reproduces known aging-related connectivity differences.