DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Mengjie, Fink, Olga |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
by: Zhao, Mengjie, et al.
Published: (2024)
by: Zhao, Mengjie, et al.
Published: (2024)
Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
by: Gueriani, Afrah, et al.
Published: (2025)
by: Gueriani, Afrah, et al.
Published: (2025)
Intent-Aware DRL-Based NOMA Uplink Dynamic Scheduler for IIoT
by: Mostafa, Salwa, et al.
Published: (2024)
by: Mostafa, Salwa, et al.
Published: (2024)
Continual Learning at the Edge: An Agnostic IIoT Architecture
by: García-Santaclara, Pablo, et al.
Published: (2025)
by: García-Santaclara, Pablo, et al.
Published: (2025)
Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks
by: Zhao, Mengjie, et al.
Published: (2024)
by: Zhao, Mengjie, et al.
Published: (2024)
KD-GAT: Combining Knowledge Distillation and Graph Attention Transformer for a Controller Area Network Intrusion Detection System
by: Frenken, Robert, et al.
Published: (2025)
by: Frenken, Robert, et al.
Published: (2025)
Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruning
by: Khan, Fazal Muhammad Ali, et al.
Published: (2024)
by: Khan, Fazal Muhammad Ali, et al.
Published: (2024)
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT
by: Cui, Jixuan, et al.
Published: (2024)
by: Cui, Jixuan, et al.
Published: (2024)
GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network
by: Xiao, Wenjing, et al.
Published: (2025)
by: Xiao, Wenjing, et al.
Published: (2025)
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions
by: Sun, Han, et al.
Published: (2024)
by: Sun, Han, et al.
Published: (2024)
Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems
by: Singh, Samaresh Kumar, et al.
Published: (2025)
by: Singh, Samaresh Kumar, et al.
Published: (2025)
Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence
by: Wang, Yingchao, et al.
Published: (2024)
by: Wang, Yingchao, et al.
Published: (2024)
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
by: Zhao, Zhehan, et al.
Published: (2024)
by: Zhao, Zhehan, et al.
Published: (2024)
Balanced Edge Pruning for Graph Anomaly Detection with Noisy Labels
by: Wang, Zhu, et al.
Published: (2024)
by: Wang, Zhu, et al.
Published: (2024)
Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Game
by: Li, Xiaohuan, et al.
Published: (2025)
by: Li, Xiaohuan, et al.
Published: (2025)
Graph Learning with Distributional Edge Layouts
by: Zhao, Xinjian, et al.
Published: (2024)
by: Zhao, Xinjian, et al.
Published: (2024)
From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices
by: Slamanig, Georg, et al.
Published: (2025)
by: Slamanig, Georg, et al.
Published: (2025)
Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring
by: Hu, Wenyang, et al.
Published: (2024)
by: Hu, Wenyang, et al.
Published: (2024)
GREAT-EER: Graph Edge Attention Network for Emergency Evacuation Responses
by: Lischka, Attila, et al.
Published: (2026)
by: Lischka, Attila, et al.
Published: (2026)
PowerModelsGAT-AI: Physics-Informed Graph Attention for Multi-System Power Flow with Continual Learning
by: Ezeakunne, Chidozie, et al.
Published: (2026)
by: Ezeakunne, Chidozie, et al.
Published: (2026)
CoDy: Counterfactual Explainers for Dynamic Graphs
by: Qu, Zhan, et al.
Published: (2024)
by: Qu, Zhan, et al.
Published: (2024)
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
by: Zhuo, Shengda, et al.
Published: (2025)
by: Zhuo, Shengda, et al.
Published: (2025)
A Model Aware AIGC Task Offloading Algorithm in IIoT Edge Computing
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph Attention Network for Fake News Detection
by: Lakzaei, Batool, et al.
Published: (2024)
by: Lakzaei, Batool, et al.
Published: (2024)
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models
by: Liu, Shuo, et al.
Published: (2024)
by: Liu, Shuo, et al.
Published: (2024)
Graph Neural Network with One-side Edge Sampling for Fraud Detection
by: Trieu, Hoang Hiep
Published: (2026)
by: Trieu, Hoang Hiep
Published: (2026)
Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems
by: Zhou, Ao, et al.
Published: (2024)
by: Zhou, Ao, et al.
Published: (2024)
DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph
by: Zhao, Feng, et al.
Published: (2026)
by: Zhao, Feng, et al.
Published: (2026)
Enhancing Heterogeneous Knowledge Graph Completion with a Novel GAT-based Approach
by: Wei, Wanxu, et al.
Published: (2024)
by: Wei, Wanxu, et al.
Published: (2024)
Refined Edge Usage of Graph Neural Networks for Edge Prediction
by: Jin, Jiarui, et al.
Published: (2022)
by: Jin, Jiarui, et al.
Published: (2022)
Edge Prompt Tuning for Graph Neural Networks
by: Fu, Xingbo, et al.
Published: (2025)
by: Fu, Xingbo, et al.
Published: (2025)
Adaptive Edge Learning for Density-Aware Graph Generation
by: Razavi, Seyedeh Ava Razi, et al.
Published: (2026)
by: Razavi, Seyedeh Ava Razi, et al.
Published: (2026)
MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis
by: Khalvandi, Fatemeh, et al.
Published: (2026)
by: Khalvandi, Fatemeh, et al.
Published: (2026)
Disentangling Slow and Fast Temporal Dynamics in Degradation Inference with Hierarchical Differential Models
by: Zhao, Mengjie, et al.
Published: (2025)
by: Zhao, Mengjie, et al.
Published: (2025)
Multimodal Learning for Arcing Detection in Pantograph-Catenary Systems
by: Dong, Hao, et al.
Published: (2026)
by: Dong, Hao, et al.
Published: (2026)
GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices
by: Gufran, Danish, et al.
Published: (2025)
by: Gufran, Danish, et al.
Published: (2025)
Spectral Edge Dynamics Reveal Functional Modes of Learning
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Queen Detection in Beehives via Environmental Sensor Fusion for Low-Power Edge Computing
by: De Luca, Chiara, et al.
Published: (2025)
by: De Luca, Chiara, et al.
Published: (2025)
Multi-Stage Knowledge-Distilled VGAE and GAT for Robust Controller-Area-Network Intrusion Detection
by: Frenken, Robert, et al.
Published: (2025)
by: Frenken, Robert, et al.
Published: (2025)
Lightweight Edge Learning via Dataset Pruning
by: Ale, Laha, et al.
Published: (2026)
by: Ale, Laha, et al.
Published: (2026)
Similar Items
-
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
by: Zhao, Mengjie, et al.
Published: (2024) -
Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
by: Gueriani, Afrah, et al.
Published: (2025) -
Intent-Aware DRL-Based NOMA Uplink Dynamic Scheduler for IIoT
by: Mostafa, Salwa, et al.
Published: (2024) -
Continual Learning at the Edge: An Agnostic IIoT Architecture
by: García-Santaclara, Pablo, et al.
Published: (2025) -
Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks
by: Zhao, Mengjie, et al.
Published: (2024)