{"total":14,"rows":[{"id":"2204.03080","title":"Graph Neural Networks Designed for Different Graph Types: A Survey","created":"2022-04-06","cited_by_count":21,"area":null},{"id":"2110.06082","title":"Efficient Bayesian network structure learning via local Markov boundary search","created":"2021-10-12","cited_by_count":14,"area":null},{"id":"2105.09675","title":"On the Parameterized Complexity of Polytree Learning","created":"2021-05-20","cited_by_count":6,"area":null},{"id":"2310.06333","title":"Learning bounded-degree polytrees with known skeleton","created":"2023-10-10","cited_by_count":5,"area":null},{"id":"2402.06380","title":"Optimal estimation of Gaussian (poly)trees","created":"2024-02-09","cited_by_count":3,"area":null},{"id":"2602.10253","title":"The Complexity of Bayesian Network Learning: Revisiting the Superstructure","created":"2026-02-10","cited_by_count":2,"area":null},{"id":"2107.10955","title":"Learning Linear Polytree Structural Equation Models","created":"2021-07-22","cited_by_count":1,"area":null},{"id":"2405.07914","title":"Distribution Learning Meets Graph Structure Sampling","created":"2024-05-13","cited_by_count":1,"area":null},{"id":"2407.00927","title":"Learnability of Parameter-Bounded Bayes Nets","created":"2024-07-01","cited_by_count":1,"area":null},{"id":"2303.04339","title":"Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level","created":"2023-03-08","cited_by_count":0,"area":null},{"id":"2311.04636","title":"Learning Linear Gaussian Polytree Models with Interventions","created":"2023-11-08","cited_by_count":0,"area":null},{"id":"2507.05689","title":"Optimal structure learning and conditional independence testing","created":"2025-07-08","cited_by_count":0,"area":null},{"id":"2605.03622","title":"Exact and Approximate Algorithms for Polytree Learning","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2605.23225","title":"Entropy Equivalence Testing","created":"2026-05-22","cited_by_count":0,"area":null}],"next_cursor":null}