{"total":13,"rows":[{"id":"2105.00696","title":"Graph Learning: A Survey","created":"2021-05-03","cited_by_count":141,"area":null},{"id":"2110.09677","title":"Accelerated Graph Learning from Smooth Signals","created":"2021-10-19","cited_by_count":16,"area":null},{"id":"2112.01939","title":"Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity","created":"2021-12-03","cited_by_count":8,"area":null},{"id":"2111.08161","title":"Sparse Graph Learning Under Laplacian-Related Constraints","created":"2021-11-16","cited_by_count":5,"area":null},{"id":"2309.13405","title":"Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition","created":"2023-09-23","cited_by_count":5,"area":null},{"id":"2111.00590","title":"Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency","created":"2021-10-31","cited_by_count":4,"area":null},{"id":"2210.15471","title":"Adaptive Estimation of Graphical Models under Total Positivity","created":"2022-10-27","cited_by_count":2,"area":null},{"id":"2103.03471","title":"Joint Network Topology Inference via Structured Fusion Regularization","created":"2021-03-05","cited_by_count":1,"area":null},{"id":"2109.12020","title":"Distributed Estimation of Sparse Inverse Covariances","created":"2021-09-24","cited_by_count":1,"area":null},{"id":"2303.08552","title":"Joint Graph and Vertex Importance Learning","created":"2023-03-15","cited_by_count":1,"area":null},{"id":"2307.04374","title":"Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks","created":"2023-07-10","cited_by_count":1,"area":null},{"id":"2404.06735","title":"A Copula Graphical Model for Multi-Attribute Data using Optimal Transport","created":"2024-04-10","cited_by_count":1,"area":null},{"id":"2409.12916","title":"Online Proximal ADMM for Graph Learning from Streaming Smooth Signals","created":"2024-09-19","cited_by_count":0,"area":null}],"next_cursor":null}