{"total":17,"rows":[{"id":"2103.02582","title":"D'ya like DAGs? A Survey on Structure Learning and Causal Discovery","created":"2021-03-03","cited_by_count":211,"area":null},{"id":"2102.13647","title":"Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game","created":"2021-02-26","cited_by_count":161,"area":null},{"id":"2303.18211","title":"A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models","created":"2023-03-31","cited_by_count":28,"area":null},{"id":"2104.08043","title":"Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data","created":"2021-04-16","cited_by_count":22,"area":null},{"id":"2402.08616","title":"Adjustment Identification Distance: A gadjid for Causal Structure Learning","created":"2024-02-13","cited_by_count":16,"area":null},{"id":"2503.17037","title":"Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery","created":"2025-03-21","cited_by_count":8,"area":null},{"id":"2406.16728","title":"CausalMMM: Learning Causal Structure for Marketing Mix Modeling","created":"2024-06-24","cited_by_count":5,"area":null},{"id":"2206.07195","title":"Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation","created":"2022-06-14","cited_by_count":4,"area":null},{"id":"2311.06012","title":"Double Machine Learning Based Structure Identification from Temporal Data","created":"2023-11-10","cited_by_count":4,"area":null},{"id":"2407.13313","title":"Sortability of Time Series Data","created":"2024-07-18","cited_by_count":3,"area":null},{"id":"2404.05746","title":"Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods","created":"2024-04-03","cited_by_count":2,"area":null},{"id":"2201.02933","title":"Causal Discovery from Sparse Time-Series Data Using Echo State Network","created":"2022-01-09","cited_by_count":1,"area":null},{"id":"2210.07416","title":"GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Imaging Studies","created":"2022-10-13","cited_by_count":1,"area":null},{"id":"2505.20697","title":"Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2411.13264","title":"Transformers with Sparse Attention for Granger Causality","created":"2024-11-20","cited_by_count":0,"area":null},{"id":"2502.03802","title":"MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems","created":"2025-02-06","cited_by_count":0,"area":null},{"id":"2508.01848","title":"Causal Discovery in Multivariate Time Series through Mutual Information Featurization","created":"2025-08-03","cited_by_count":0,"area":null}],"next_cursor":null}