mlsanityData to 7 Oct 2026

Causal Discovery from Temporal Data: An Overview and New Perspectives

arXiv 2303.10112 ↗First posted 17 Mar 2023cs.LG stat.MEcited by 43

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Abstract (arXiv)

Temporal data, representing chronological observations of complex systems, has always been a typical data structure that can be widely generated by many domains, such as industry, medicine and finance. Analyzing this type of data is extremely valuable for various applications. Thus, different temporal data analysis tasks, eg, classification, clustering and prediction, have been proposed in the past decades. Among them, causal discovery, learning the causal relations from temporal data, is considered an interesting yet critical task and has attracted much research attention. Existing causal discovery works can be divided into two highly correlated categories according to whether the temporal data is calibrated, ie, multivariate time series causal discovery, and event sequence causal discovery. However, most previous surveys are only focused on the time series causal discovery and ignore the second category. In this paper, we specify the correlation between the two categories and provide a systematical overview of existing solutions. Furthermore, we provide public datasets, evaluation metrics and new perspectives for temporal data causal discovery.

Key facts. Cited by 43 papers in the map (data through 7 Oct 2026). Builds on 114 of its 404 references that are in the map. First posted on arXiv 17 Mar 2023.

Builds on

114 of 404 references.

References · 114

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38 more
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50 most cited of 114 All 114 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 6; 2025: 16; 2026: 18.

43 papers.

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  1. 2023CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discoverycited by 35
  2. 2024MECD: Unlocking Multi-Event Causal Discovery in Video Reasoningcited by 23
  3. 2024Recursive Causal Discoverycited by 12
  4. 2023Inferring dynamic regulatory interaction graphs from time series data with perturbationscited by 9
  5. 2025TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discoverycited by 9
  6. 2023Causal Discovery from Subsampled Time Series with Proxy Variablescited by 8
  7. 2025MECD+: Unlocking Event-Level Causal Graph Discovery for Video Reasoningcited by 5
  8. 2025Neural Spatiotemporal Point Processes: Trends and Challengescited by 5
  9. 2025Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregationcited by 4
  10. 2025One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequencescited by 4
  11. 2025TimeSense:Making Large Language Models Proficient in Time-Series Analysiscited by 3
  12. 2024Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methodscited by 2
31 more
  1. 2024Unified Causality Analysis Based on the Degrees of Freedomcited by 1
  2. 2024INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detectioncited by 1
  3. 2025Causal Discovery for Irregularly Time Series with Consistency Guaranteescited by 1
  4. 2025Toward Temporal Causal Representation Learning with Tensor Decompositioncited by 1
  5. 2025Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Makingcited by 1
  6. 2026MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Seriescited by 1
  7. 2026GRACE: Gated Refinement for Accurate Causal Edge Discovery in High-Dimensional Time Seriescited by 1
  8. 2024MotifDisco: Motif Causal Discovery For Time Series Motifscited by 0
  9. 2025SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Inputcited by 0
  10. 2025Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Carecited by 0
  11. 2025Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confoundingcited by 0
  12. 2025Robust Causal Discovery in Real-World Time Series with Power-Lawscited by 0
  13. 2025Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systemscited by 0
  14. 2025KarmaTS: A Universal Simulation Platform for Multivariate Time Series with Functional Causal Dynamicscited by 0
  15. 2025CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecastingcited by 0
  16. 2026Multi-Agent Causal Reasoning System for Error Pattern Rule Automation in Vehiclescited by 0
  17. 2026A Causal Perspective for Enhancing Jailbreak Attack and Defensecited by 0
  18. 2026Causal-Audit: A Framework for Risk Assessment of Assumption Violations in Time-Series Causal Discoverycited by 0
  19. 2026A phenotype-driven and evidence-governed framework for knowledge graph enrichment and hypotheses discovery in population datacited by 0
  20. 2026PRCD-MAP: Learning How Much to Trust Imperfect Priors in Causal Discoverycited by 0
  21. 2026TTCD:Transformer Integrated Temporal Causal Discovery from Non-Stationary Time Series Datacited by 0
  22. 2026Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphscited by 0
  23. 2026Learning Temporal Causal Structure via Smooth Differentiable Optimizationcited by 0
  24. 2026Vector Space of Cyclescited by 0
  25. 2026LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systemscited by 0
  26. 2026Resilient Concurrent Causal Discovery for Topological Event Sequencescited by 0
  27. 2026Beyond Stationarity in Time Series: Discovering Causal Structures and Latent Regimes via Markov Blanketscited by 0
  28. 2026When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learningcited by 0
  29. 2026One Intervention per Component is Enough: Towards Identifiability in Linear Stochastic Dynamics from Steady Statecited by 0
  30. 2026ITSY: Causal Discovery From Irregular Time-Series Datacited by 0
  31. 2026seq2cause: One Autoregressive Backbone, Four Causal Discovery Tasks in Event Sequencescited by 0