NewsHive
CONTACT USANALYST PORTAL →
aiBACKGROUND

Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Faul

BACKGROUND
1 SIGNALFIRST DETECTED 23 April 2026
Narrative synthesis pending — 1 signal collected.
How the story developed
Other feeds and industry voices
20 Oct
$M^2Net$: Unifying Scale-Specific Structures and Prototype Decomposition for Spatial-Temporal Forecasting

arXiv:2610.24516v1 Announce Type: new Abstract: Spatial-temporal forecasting is pivotal for intelligent urban management yet remains challenging due to the intricate coupling of

REPORT · WHERE · ArXiv CS.AIOPEN STORY
18 Aug
Cross-Domain Industrial Fault Detection by Causal Mechanism Monitoring

arXiv:2608.14666v1 Announce Type: new Abstract: Unsupervised fault detection in industrial systems is dominated by reconstruction based methods that monitor individual sensor

REPORT · WHERE · ArXiv CS.AIOPEN STORY
26 Jun
Kalman Prototypical Networks for Few-shot Fault Detection in Combined Cycle Gas Turbines

arXiv:2606.26710v1 Announce Type: new Abstract: Combined-cycle gas turbines (CCGTs) play a key role in modern power generation, offering both high efficiency and reduced

REPORT · WHEN · ArXiv CS.AIOPEN STORY
13 Apr
GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback

arXiv:2604.08553v1 Announce Type: cross Abstract: Large Language Models (LLMs) have shown strong performance on text-attributed graphs (TAGs) due to their superior semantic

REPORT · WHERE · ArXiv CS.AIOPEN STORY
27 Mar
Fusion Learning from Dynamic Functional Connectivity: Combining the Amplitude and Phase of fMRI Signals to Identify Brain Disorders

arXiv:2603.24603v1 Announce Type: cross Abstract: Dynamic functional connectivity (dFC) derived from resting-state functional magnetic resonance imaging (fMRI) has been

REPORT · HOW · ArXiv CS.AIOPEN STORY
8 Apr
OntoTKGE: Ontology-Enhanced Temporal Knowledge Graph Extrapolation

arXiv:2604.05468v1 Announce Type: new Abstract: Temporal knowledge graph (TKG) extrapolation is an important task that aims to predict future facts through historical interaction

REPORT · WHAT · ArXiv CS.AIOPEN STORY
18 Jun
Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection

arXiv:2606.17109v1 Announce Type: cross Abstract: Given their effectiveness in modeling the relational structure among network traffic flows, graph neural networks (GNNs) have

REPORT · WHAT · ArXiv CS.AIOPEN STORY
7 Sept
Long Horizon Transformer Quantile Fault Prediction for Multi Site Industrial Predictive Maintenance

arXiv:2609.04840v1 Announce Type: new Abstract: Long-horizon predictive maintenance requires models to distinguish slowly evolving degradation from normal operating-regime

REPORT · WHAT · ArXiv CS.AIOPEN STORY
Sources
ArXiv CS.AI

NewsHive monitors these sources continuously. All signal titles above link to the original reporting.

Intelligence by NewsHive. Need help navigating what this means for your business? Contact GeekyBee →