AI-Based Causal Reasoning over Knowledge Graphs for Data-Driven and Intervention-Oriented Enterprise Performance Analysis

This publication has 9 references indexed in Scilit:

• Integrating Taiwan financial BERT sentiment analysis with CNN-BiLSTM-SA model for stock prediction
  Discover Computing, 2025
• Knowledge Graphs and Their Reciprocal Relationship with Large Language Models
  Machine Learning and Knowledge Extraction, 2025
• A systematic review for transformer-based long-term series forecasting
  Artificial Intelligence Review, 2025
• Factors Influencing the Predictive Performance of the LSTM Model on Stock Prices and Its Application in Forecasting U.S. Technology Sector Stock Prices — Sample Time Span, Time Window Length, Feature Selection, and Prediction Days
  2024
• BiLSTM-MLAM: A Multi-Scale Time Series Prediction Model for Sensor Data Based on Bi-LSTM and Local Attention Mechanisms
  Sensors, 2024
• Text to Causal Knowledge Graph: A Framework to Synthesize Knowledge from Unstructured Business Texts into Causal Graphs
  Information, 2023
• Adoption of knowledge-graph best development practices for scalable and optimized manufacturing processes
  MethodsX, 2023
• Causal Inference for Knowledge Graph Based Recommendation
  IEEE Transactions on Knowledge and Data Engineering, 2022
• Towards knowledge graph reasoning for supply chain risk management using graph neural networks
  International Journal of Production Research, 2022