Intelligent Prediction of Flood Disaster Risk Levels Based on Knowledge Graph and Graph Neural Networks
Flash flood disasters pose a significant threat to human life and property, making accurate prediction of risk levels crucial for disaster prevention and mitigation. This study introduces an innovative artificial intelligence approach based on knowledge graphs and graph neural networks. The method i...
Saved in:
Main Authors: | Peisheng Yang, Xiaohua Xu, Meilan Shao, Yewei Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10824773/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Intelligent Flood Dispatching in River Basins Based on Knowledge Graphs
by: SONG Wanli, et al.
Published: (2025-01-01) -
Edge-level multi-constranint graph pattern matching with lung cancer knowledge graph
by: Houdie Tu, et al.
Published: (2025-02-01) -
Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products
by: Van Thuy Hoang, et al.
Published: (2025-01-01) -
Research on Parameter-Efficient Knowledge Graph Completion Methods and Their Performance in the Cybersecurity Field
by: Bin Chen, et al.
Published: (2025-01-01) -
SViG: A Similarity-Thresholded Approach for Vision Graph Neural Networks
by: Ismael Elsharkawi, et al.
Published: (2025-01-01)