Home / Research Library / Graph neural network for traffic forecasting: A su...
🤖 Artificial Intelligence OpenAlex

Graph neural network for traffic forecasting: A survey

📅 June 23, 2022 👤 Weiwei Jiang, Jiayun Luo 📖 Expert Systems with Applications 📊 1,212 citations

🤖 Plain-English Summary

This research explores Graph neural network for traffic forecasting: A survey, contributing new insights to the field of Artificial Intelligence.

🔑 Key Findings

  • Research demonstrates significant advances in performance benchmarks
  • Study provides new evidence regarding model accuracy improvements
  • Findings open new directions for computational efficiency

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

Read the full paper
Access the original peer-reviewed research via OpenAlex.

View on DOI ↗

📋 Article Details

Category 🤖 Artificial Intelligence
Published Jun 23, 2022
Journal Expert Systems with Applications
Authors Weiwei Jiang, Jiayun Luo
DOI 10.1016/j.eswa.2022.117921
Citations 1,212
Source OpenAlex

More 🤖 Artificial Intelligence Research