Cover Image

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xin, Weilin, Huang, Chenyu, Li, Peilin, Zhong, Jing, Yao, Jiawei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rigid-Deformation Decomposition AI Framework for 3D Spatio-Temporal Prediction of Vehicle Collision Dynamics
by: Kim, Sanghyuk, et al.
Published: (2025)

Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
by: Zhao, Mengjie, et al.
Published: (2024)

Crisis-Resilient Portfolio Management via Graph-based Spatio-Temporal Learning
by: Li, Zan, et al.
Published: (2025)

Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
by: Wang, Bicheng, et al.
Published: (2025)

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
by: Zhang, Zeyang, et al.
Published: (2023)

NLP-enabled Trajectory Map-matching in Urban Road Networks using a Transformer-based Encoder-decoder
by: Mohammadi, Sevin, et al.
Published: (2024)

Bi-directional Mapping of Morphology Metrics and 3D City Blocks for Enhanced Characterization and Generation of Urban Form
by: Cai, Chenyi, et al.
Published: (2024)

Optimizing Sensor Placement for Flow Reconstruction in Urban Drainage Networks: A Digital Twin-Based Sparse Sensing Approach
by: Ding, Zihang, et al.
Published: (2025)

Enhancing Supply Chain Visibility with Generative AI: An Exploratory Case Study on Relationship Prediction in Knowledge Graphs
by: Zheng, Ge, et al.
Published: (2024)

A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer
by: Hu, Linyue, et al.
Published: (2025)

CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting
by: Wan, Shu, et al.
Published: (2025)

A Roadmap for Applying Graph Neural Networks to Numerical Data: Insights from Cementitious Materials
by: Sharmin, Mahmuda, et al.
Published: (2025)

An Open-Source Knowledge Graph Ecosystem for the Life Sciences
by: Callahan, Tiffany J., et al.
Published: (2023)

AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture
by: Guo, Qiming, et al.
Published: (2025)

ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
by: Topu, Mohsin Mahmud, et al.
Published: (2026)

Social Recommendation through Heterogeneous Graph Modeling of the Long-term and Short-term Preference Defined by Dynamic Time Spans
by: Jafari, Behafarid Mohammad, et al.
Published: (2023)

GraphCliff: Short-Long Range Gating for Subtle Differences but Critical Changes
by: Kim, Hajung, et al.
Published: (2025)

EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
by: Deng, Huayu, et al.
Published: (2024)

Physics-Informed Large Language Models for HVAC Anomaly Detection with Autonomous Rule Generation
by: Lin, Subin, et al.
Published: (2025)

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction
by: Ding, Fan, et al.
Published: (2025)

Online Dispatching and Routing for Automated Guided Vehicles in Pickup and Delivery Systems on Loop-Based Graphs
by: Stubbe, Louis, et al.
Published: (2023)

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
by: Giral, Francisco, et al.
Published: (2026)

Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process
by: Elaarabi, Mouad, et al.
Published: (2026)

DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
by: Kulkarni, Omkar, et al.
Published: (2025)

A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs
by: Zola, Francesco, et al.
Published: (2025)

Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention
by: Curtosi, Gabriel, et al.
Published: (2026)

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
by: Zeng, Bocheng, et al.
Published: (2024)

Graph Network-based Structural Simulator: Graph Neural Networks for Structural Dynamics
by: Lucchetti, Alessandro, et al.
Published: (2025)

JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs
by: Ding, Wanying, et al.
Published: (2024)

Graph Diffusion Policy Optimization
by: Liu, Yijing, et al.
Published: (2024)

Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing
by: Rivera, Diego Machain, et al.
Published: (2025)

Optimizing Urban Service Allocation with Time-Constrained Restless Bandits
by: Mao, Yi, et al.
Published: (2025)

Retrosynthesis Prediction via Search in (Hyper) Graph
by: Lan, Zixun, et al.
Published: (2024)

GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction
by: Inoue, Yoshitaka, et al.
Published: (2025)

A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting
by: Lei, Yu, et al.
Published: (2024)

Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
by: Li, Ruikun, et al.
Published: (2025)

Feature Mapping in Physics-Informed Neural Networks (PINNs)
by: Zeng, Chengxi, et al.
Published: (2024)

Generative AI as a Pillar for Predicting 2D and 3D Wildfire Spread: Beyond Physics-Based Models and Traditional Deep Learning
by: Xu, Haowen, et al.
Published: (2025)

Impact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
by: Siala, Walid, et al.
Published: (2026)

TRACE: Temporal Rule-Anchored Chain-of-Evidence on Knowledge Graphs for Interpretable Stock Movement Prediction
by: Ding, Qianggang, et al.
Published: (2026)