Optimizing Data-driven Causal Discovery Using Knowledge-guided Search

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hasan, Uzma, Gani, Md Osman
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
by: Hasan, Uzma, et al.
Published: (2023)

DCD: Decomposition-based Causal Discovery from Autocorrelated and Non-Stationary Temporal Data
by: Ferdous, Muhammad Hasan, et al.
Published: (2026)

Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods
by: Ali, Sahara, et al.
Published: (2024)

Correlation to Causation: A Causal Deep Learning Framework for Arctic Sea Ice Prediction
by: Hossain, Emam, et al.
Published: (2025)

LLM-based Corroborating and Refuting Evidence Retrieval for Scientific Claim Verification
by: Wang, Siyuan, et al.
Published: (2025)

TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
by: Ferdous, Muhammad Hasan, et al.
Published: (2025)

Data-Driven Optimization of EV Charging Station Placement Using Causal Discovery
by: Junker, Julius Stephan, et al.
Published: (2025)

Deep Time-Series Models Meet Volatility: Multi-Horizon Electricity Price Forecasting in the Australian National Electricity Market
by: Gani, Mohammed Osman, et al.
Published: (2026)

An Efficient Attention Mechanism for Sequential Recommendation Tasks: HydraRec
by: Mushtaque, Uzma
Published: (2025)

Cluster-Dags as Powerful Background Knowledge For Causal Discovery
by: de Vargas, Jan Marco Ruiz, et al.
Published: (2025)

Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery
by: Cinquini, Martina, et al.
Published: (2023)

Argumentative Causal Discovery
by: Russo, Fabrizio, et al.
Published: (2024)

Federated Causal Discovery from Heterogeneous Data
by: Li, Loka, et al.
Published: (2024)

Securing AI Agents: Implementing Role-Based Access Control for Industrial Applications
by: Ganie, Aadil Gani
Published: (2025)

Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy Forecasting
by: Joy, Usman Gani
Published: (2025)

Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach
by: Li, Zihao, et al.
Published: (2026)

No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery
by: Han, Xiaoxue, et al.
Published: (2025)

Learning What Matters: Causal Time Series Modeling for Arctic Sea Ice Prediction
by: Hossain, Emam, et al.
Published: (2025)

Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data
by: Niu, Wenjin, et al.
Published: (2024)

Physics-Informed Neural Networks vs. Physics Models for Non-Invasive Glucose Monitoring: A Comparative Study Under Noise-Stressed Synthetic Conditions
by: Gani, Riyaadh
Published: (2025)

Tree Search in DAG Space with Model-based Reinforcement Learning for Causal Discovery
by: Darvariu, Victor-Alexandru, et al.
Published: (2023)

Efficient Latent Variable Causal Discovery: Combining Score Search and Targeted Testing
by: Ramsey, Joseph, et al.
Published: (2025)

Negative Feedback System as Optimizer for Machine Learning Systems
by: Hasan, Md Munir, et al.
Published: (2021)

Hybrid Local Causal Discovery
by: Ling, Zhaolong, et al.
Published: (2024)

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
by: Susanti, Yuni, et al.
Published: (2025)

Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery
by: Susanti, Yuni, et al.
Published: (2024)

Causal Reasoning in Pieces: Modular In-Context Learning for Causal Discovery
by: Kadziolka, Kacper, et al.
Published: (2025)

Multi-Agent Causal Discovery Using Large Language Models
by: Le, Hao Duong, et al.
Published: (2024)

Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning
by: Shek, Chak Lam, et al.
Published: (2025)

Effect-Level Validation for Causal Discovery
by: Dang, Hoang, et al.
Published: (2026)

Emotion Detection in Speech Using Lightweight and Transformer-Based Models: A Comparative and Ablation Study
by: Onyekwelu-Udoka, Lucky, et al.
Published: (2025)

Integrating Domain Knowledge into Process Discovery Using Large Language Models
by: Norouzifar, Ali, et al.
Published: (2025)

Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge
by: Zhang, Xiaoge, et al.
Published: (2023)

Data-driven Discovery with Large Generative Models
by: Majumder, Bodhisattwa Prasad, et al.
Published: (2024)

Beyond Monolithic Architectures: A Multi-Agent Search and Knowledge Optimization Framework for Agentic Search
by: Chen, Yiqun, et al.
Published: (2026)

A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval
by: Dalal, Dhairya, et al.
Published: (2025)

Efficient Causal Graph Discovery Using Large Language Models
by: Jiralerspong, Thomas, et al.
Published: (2024)

A Survey on Causal Discovery: Theory and Practice
by: Zanga, Alessio, et al.
Published: (2023)

Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs
by: Susanti, Yuni, et al.
Published: (2025)

DMCD: Semantic-Statistical Framework for Causal Discovery
by: KaPatel, Samarth, et al.
Published: (2026)