Causal Graph

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4 papers in the last 28 days · 0.1% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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Causal Structure and ReasoningCausal DiscoveryCovariate ShiftCausal InferencesStructural Causal ModelHeterogeneous Treatment EffectsCausal InterventionTreatment

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Causal Graph.

Period ending 2026-09-07

3 new papers

A weekly snapshot of new work published in Causal Graph.

75 papers

Latest in Causal Graph

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  1. Tensor Network Moral Graph Recovery of Discrete Probability Distributions

    Sep 8, 2026Á. Troyano Olivas, Chi-Hang Fred Fung, Hans H. Brunner +2Causal GraphDirected Acyclic Graph

  2. Portable Causal Fairness Across Synthetic Data Generator Families

    Sep 2, 2026Steven Golob, Sikha Pentyala, Martine De CockFairness-Aware LearningSynthetic Data

  3. Replicating TRACE: A Practitioner's Guide to Its Threshold and Particle Budget

    Sep 1, 2026Alex Chadyuk, Alicia Zhang, Roy KucukatesCausal GraphTraces

  4. Verifiable Disaster Storylines and Causal Knowledge Graphs: A Citation-Grounded Pipeline from Heterogeneous Humanitarian Sources

    Sep 1, 2026Ivan Decostanzi, Michele Ronco, Sergio Consoli +8DisastersCausal Graph

  5. Interpretable Causal Discovery via Causal-Effect Constraints

    Aug 12, 2026Cixuan Zhang, Guy Van den Broeck, Benjie WangCausal DiscoveryCausal Graph

  6. Human-Guided Causal Knowledge Injection for Virtual Cells

    Aug 9, 2026Pengcheng Wang, Changjian Chen, Zhuo Tang +4Causal GraphSingle-Cell Perturbation Prediction

  7. EvoCause: LLM-Guided Evolution of Causal Graphs for Root Cause Analysis

    Jul 29, 2026Lei Zan, Keli Zhang, Shifeng Xie +7Root Cause AnalysisCausal Graph

  8. Amortized Bayesian Causal Discovery of Extended Factor Graphs

    Jul 24, 2026Yichen Gu, Yuxuan Song, Weizhou Qian +2Causal GraphCausal Discovery

  9. Causal Discovery on Irregular Time Series

    Jul 20, 2026Martim Penim, Ricardo Ribeiro Pereira, Jacopo Bono +3Causal DiscoveryCausal Graph

  10. CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment

    Jul 15, 2026Rabimba Karanjai, Hemanth Madhavarao, Lei Xu +1Causal GraphCounterfactual Explanation

  11. Verifying formulas for interventional distributions

    Jul 15, 2026Francesco Freni, Leonard Henckel, Sebastian WeichwaldCausal GraphFalsification

  12. CDS: Counterfactual Directionality Score for Structured Interventions in Spatial Graphs

    Jul 15, 2026Humaira Anzum, Md Ishtyaq Mahmud, Jagan Mohan Reddy Dwarampudi +1Causal GraphEfficient Influence Function

  13. Low-Latency Neural Models for Real-Time Music Enhancement

    Jul 14, 2026Emmanouil Karystinaios, Jonathan Greif, David Nadrchal +2Speech EnhancementAudio Generation and Processing

  14. Differentiable Clone-Structured Causal Graphs for End-to-End Cognitive Map Learning from Image Sequences

    Jul 14, 2026Arash Nikzad, Sasan Sarbishegi, Ali Dasmeh +8Cognitive MapVisual Representation Learning

  15. Falsifying Causal Graphs With Outlier Events

    Jul 13, 2026William Roy Orchard, Philipp M. Faller, Dominik JanzingCausal GraphFalsification

  16. Integrating Background Knowledge for Scalable Causal Discovery

    Jul 11, 2026Mátyás Schubert, Theofanis Aslanidis, Tom Claassen +1Causal DiscoveryCausal Graph

  17. DKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured Data

    Jul 10, 2026Xin Li, Jin Li, Shoujin Wang +2Causal DiscoveryCausal Graph

  18. Causal-RetiGraph: Cross-Cohort Retinal Support and Same-Subject Pathway Analysis for Diabetic Retinopathy

    Jul 6, 2026Inam Ullah, Imran Razzak, Shoaib JameelRetinal ImagingBiomarker

  19. Significance-First Splitting: Aligning Treatment Heterogeneity Detection with Honest Estimation

    Jul 4, 2026Pantelis Z. Hadjipantelis, Weng Man Chiang, Karthik NageshHeterogeneous Treatment EffectsTreatment

  20. Order-based Causal Discovery for Multistage Processes

    Jul 4, 2026Eun-Yeol Ma, Junsub Jung, Heeyoung KimCausal DiscoveryCausal Graph

  21. Repair the Amplifier, Not the Symptom: Stable World-Model Correction for Agent Rollouts

    Jul 2, 2026Xinyuan Song, Zekun CaiLong RolloutsSelf-Correction

  22. Non-parametric recovery of causal diffusion mechanisms from steady-state observations

    Jun 29, 2026Richard Schwank, Mathias DrtonCausal DiscoveryStochastic Differential Equations

  23. FinInvest-GTCN: Explainable Graph-Temporal-Causal Modeling for Risk-Aware Investment Decision Optimization

    Jun 27, 2026Junyan Tan, Yifan Li, Minghao Wang +2Causal GraphBanking

  24. Estimation-Prediction Tradeoff in Causal Probabilistic Temporal Graphs

    Jun 26, 2026Aniq Ur RahmanCausal GraphTemporal Link Prediction

  25. Lifted Causal Inference

    Jun 26, 2026Malte Luttermann, Tanya Braun, Ralf Möller +1Causal GraphCausal Inferences

  26. RetiSEM: Generalising Causal Models for Fragmented Biomedical Data

    Jun 23, 2026Inam Ullah, Imran Razzak, Shoaib JameelStructural Equation ModelingStructural Causal Model

  27. Monitoring Diameters of Causal Communication Graph with Spatio-Temporal Logic

    Jun 19, 2026Lydia Bakiri, Jérémy Dubut, Sergio MoverAcyclic GraphsReachability

  28. DCD-PFN: A Decoupling-Aware Foundation Model for Causal Discovery

    Jun 19, 2026Zhengkang Guan, Yikang Chen, Yi He +5Causal DiscoveryCausal Graph

  29. CIExplainer++: Generating Causal and Interpretable Explanations for Graph Neural Networks

    Jun 17, 2026Francisco Caldas, Sahil Satish Kumar, Ruben Belo +1Concept-Based ExplainabilityExplainable Artificial Intelligence

  30. SpatioTemporal Causal Network Diagnostics for Geographic Tipping Point Early Warning

    Jun 16, 2026Zhaoyuan Yu, Zhangyong LiangSpatio-Temporal ForecastingEarly Warning

  31. Faithful Action-unit Causal Reasoning for Counterfactually Faithful Emotion Explanations

    Jun 14, 2026Van Thong Huynh, Hong Hai Nguyen, Thuy Pham +2Counterfactual ReasoningCausal Structure and Reasoning

  32. Feature Attribution in Directed Acyclic Graphs Using Edge Intervention

    Jun 13, 2026Qiheng Sun, Junxu Liu, Xiaokai Mao +4Feature AttributionCausal Graph

  33. Relational Structural Causal Models

    Jun 12, 2026Adiba Ejaz, Elias BareinboimStructural Causal ModelCausal Graph

  34. NetCause: Counterfactual Learning for Root Cause Analysis in Large-Scale Networks

    Jun 11, 2026Fabien Chraim, Jian Zhang, Dominik Janzing +3Root Cause AnalysisCausal Graph

  35. Graphical Causal Reasoning for Root Cause Analysis in Cloud Networks

    Jun 11, 2026Fabien Chraim, Dominik Janzing, John EvansRoot Cause AnalysisCausal Graph

  36. CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts

    Jun 11, 2026Bo Liu, Di Dai, Jingwei Liu +5Causal DiscoveryCausal Graph

  37. Causal Ensemble Agent: Hierarchical Causal Discovery with LLM-guided Expert Reweighting

    Jun 9, 2026Xinyu Li, Yuanyuan Wang, Haoxuan Li +7Causal DiscoveryCausal Graph

  38. Causally Evaluating the Learnability of Formal Language Tasks

    Jun 8, 2026Vésteinn Snæbjarnarson, Anej Svete, Josef Valvoda +3Multi-Dimensional EvaluationMulti--Task Learning

  39. Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery

    Jun 8, 2026Suraj Biswas, Saurabh Gupta, Pritam MukherjeeCausal DiscoveryCausal Graph

  40. Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement

    Jun 7, 2026Abdul Moeed, Stefan Schrod, Martin Rohbeck +4Single-Cell Perturbation PredictionCounterfactual Reasoning

  41. LLM Explainability with Counterfactual Chains and Causal Graphs

    Jun 4, 2026Nirit Nussbaum-Hoffer, Nitay Calderon, Liat Ein-Dor +1Causal GraphConcept-Based Explainability

  42. StableRCA: Robust Graph-Agnostic Mechanism-Level Root Cause Analysis

    Jun 4, 2026Xiaoyu Lin, Nicholas Tagliapietra, Kehan Li +2Root Cause AnalysisCausal Graph

  43. CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting

    Jun 3, 2026Zhaoqi Zhang, Miao Xie, Yi Li +3Causal GraphSpatio-Temporal Forecasting

  44. Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs

    Jun 2, 2026Clément Yvernes, Emilie Devijver, Marianne Clausel +1Causal GraphDerivations

  45. Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection

    Jun 2, 2026Gautam Gare, John Galeotti, Michael Mozer +2Causal GraphReal-World Clinical Dataset

  46. Consistency evaluation of benchmarks used for causal discovery

    Jun 1, 2026Yuzhe Zhang, Chihui Chen, Lina Yao +1Causal DiscoveryCausal Graph

  47. Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention

    May 31, 2026Shuochen Chang, Tong Bai, Xiaofeng Zhang +5Latent ReasoningCausal Intervention

  48. GL-LFGNN:A Global-Local Dual-branch Causal Graph Neural Network Based on Liang-Kleeman Information Flow for EEG Emotion Recognition

    May 24, 2026Ziyi Wang, Dongyang KuangElectroencephalogramBrain Activity

  49. A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning

    May 19, 2026Honglin Du, Muxuan Liang, Xiang ZhongCausal GraphDirected Acyclic Graph

  50. Causal Anomaly Detection for Lithium-Ion Battery Degradation

    May 17, 2026Dieter W. Heermann, Hagen HeermannLithium-Ion BatteriesAnomaly Detection

  51. SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets

    May 15, 2026Alpar Turkoglu, Muralikrishnna G. Sethuraman, Faramarz FekriCausal DiscoveryCausal Graph

  52. Causal Learning with the Invariance Principle

    May 13, 2026Francesco Montagna, Francesco LocatelloStructural Causal ModelCausal Graph

  53. Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling

    May 12, 2026Chenran Zhao, Dianxi Shi, Yaowen Zhang +2Transferable KnowledgeCausal Graph

  54. PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning

    May 8, 2026Elahe Khatibi, Ziyu Wang, Saba A. Farahani +4Causal GraphCausal Discovery

  55. Optimal Experiments for Partial Causal Effect Identification

    May 7, 2026Tobias Maringgele, Jalal EtesamiCausal GraphBayesian Experimental Design

  56. NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise

    May 5, 2026Zhi Xu, Yun FuLLM Reasoning MethodsCausal Structure and Reasoning

  57. KARMA-MV: A Benchmark for Causal Question Answering on Music Videos

    May 5, 2026Archishman Ghosh, Abhinaba Roy, Dorien HerremansAudio-Visual ReasoningCausal Structure and Reasoning

  58. Stable Blanket with Hidden Variables and Cycles

    May 3, 2026Hanqing XiangCausal GraphRegression

  59. Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning

    Apr 21, 2026Xiangmeng Wang, Qian Li, Haiyang Xia +3Text-Attributed GraphSubgraphs

  60. Causally-Constrained Probabilistic Forecasting for Time-Series Anomaly Detection

    Apr 20, 2026Pooyan Khosravinia, João Gama, Bruno VelosoTime-Series Anomaly DetectionAnomaly Detection