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STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand

BACKGROUND
5 SIGNALSFIRST DETECTED 9 July 2026
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How the story developed
20 Oct
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Other feeds and industry voices
8 Apr
ActivityEditor: Learning to Synthesize Physically Valid Human Mobility

arXiv:2604.05529v1 Announce Type: new Abstract: Human mobility modeling is indispensable for diverse urban applications. However, existing data-driven methods often suffer from

REPORT · WHERE · ArXiv CS.AIOPEN STORY
30 Sept
AdaST: Adaptive Coupling for Spatial-Temporal Forecasting

arXiv:2609.36119v1 Announce Type: new Abstract: Spatial-temporal (ST) forecasting underpins many real-world systems such as traffic, climate, and energy networks. While existing

REPORT · WHAT · ArXiv CS.AIOPEN STORY
31 Aug
CASTANET: Causality-Aware Spatio-Temporal Adversarial Network Using Traffic Incident Effects

arXiv:2608.27942v1 Announce Type: new Abstract: Predicting non-periodic traffic congestion caused by sudden incidents (e.g., accidents and road damage) is crucial for advanced

REPORT · HOW · ArXiv CS.AIOPEN STORY
30 Jun
GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets

arXiv:2606.27863v1 Announce Type: cross Abstract: Demand forecasting at the bottom of a retail hierarchy requires predicting tens of thousands of correlated long-horizon series

REPORT · WHAT · ArXiv CS.AIOPEN STORY
8 Apr
EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks

arXiv:2604.05254v1 Announce Type: new Abstract: Modern logistics networks generate rich operational data streams at every warehouse node and transportation lane -- from order

REPORT · WHAT · ArXiv CS.AIOPEN STORY
14 Jul
A Dynamic Scene Interaction Reasoning Framework for Scene-level Lane-Change Intention and Trajectory Prediction of Multiple Interacting Vehicles

arXiv:2607.09740v1 Announce Type: new Abstract: Safe motion planning in advanced driver-assistance systems and autonomous vehicles requires an accurate understanding of how the

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
5 May
Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks

arXiv:2605.00482v1 Announce Type: cross Abstract: Mobile network operators must monitor thousands of heterogeneous network elements across the radio access network and the packet

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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