Scikit-learn compatible estimation of general graphical models
A Python package for General Graphical Lasso computation
Co-accessibility network from single-cell ATAC-seq data. Python code with AnnData, based on Cicero algorithm.
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Sparse graph recovery by optimizing deep unrolled networks (unsupervised-GLAD)
Planting a clinical dependency graph into the entanglement topology of a shallow quantum circuit, to generate synthetic MIMIC-IV ICU data. A light-cone theorem forces the circuit to be shallow, and makes the graph's alignment measurable.
Code to replicate the experiments in the paper Precision Neural Networks
Directed-network framework for S&P 500 crisis regimes: A-DCC GARCH, Graphical Lasso, a lead/follower cascade, network-topology metrics, and a composite Network Stress Index across twenty 1985-2024 regimes.
Graphical Lasso and EM algorithm on confounding model
Time-Varying Partial-Correlation Network with Granger-Causal Edge Direction
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