Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion
Fuente:
arXiv
Guardado en:
| Autores principales: | Nie, Tong, Sun, Jian, Ma, Wei |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
por: Nie, Tong, et al.
Publicado: (2025)
por: Nie, Tong, et al.
Publicado: (2025)
Conformalized Link Prediction on Graph Neural Networks
por: Zhao, Tianyi, et al.
Publicado: (2024)
por: Zhao, Tianyi, et al.
Publicado: (2024)
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction
por: Mi, Yuan, et al.
Publicado: (2024)
por: Mi, Yuan, et al.
Publicado: (2024)
Graph Neural Diffusion Networks for Semi-supervised Learning
por: Ye, Wei, et al.
Publicado: (2022)
por: Ye, Wei, et al.
Publicado: (2022)
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
por: Zhang, He, et al.
Publicado: (2022)
por: Zhang, He, et al.
Publicado: (2022)
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks
por: Wang, Zepu, et al.
Publicado: (2024)
por: Wang, Zepu, et al.
Publicado: (2024)
An Active Diffusion Neural Network for Graphs
por: Jiang, Mengying
Publicado: (2025)
por: Jiang, Mengying
Publicado: (2025)
An Operator-Consistent Graph Neural Network for Learning Diffusion Dynamics on Irregular Meshes
por: Li, Yuelian, et al.
Publicado: (2025)
por: Li, Yuelian, et al.
Publicado: (2025)
Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand
por: Tang, Yihong, et al.
Publicado: (2026)
por: Tang, Yihong, et al.
Publicado: (2026)
Graph Diffusion Network for Drug-Gene Prediction
por: Wu, Jiayang, et al.
Publicado: (2025)
por: Wu, Jiayang, et al.
Publicado: (2025)
Graph Neural Diffusion via Generalized Opinion Dynamics
por: Hevapathige, Asela, et al.
Publicado: (2025)
por: Hevapathige, Asela, et al.
Publicado: (2025)
Poisoning the Inner Prediction Logic of Graph Neural Networks for Clean-Label Backdoor Attacks
por: Zhang, Yuxiang, et al.
Publicado: (2026)
por: Zhang, Yuxiang, et al.
Publicado: (2026)
RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks
por: Niam, Arefin, et al.
Publicado: (2025)
por: Niam, Arefin, et al.
Publicado: (2025)
ADV-0: Closed-Loop Min-Max Adversarial Training for Long-Tail Robustness in Autonomous Driving
por: Nie, Tong, et al.
Publicado: (2026)
por: Nie, Tong, et al.
Publicado: (2026)
Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
por: Attali, Hugo, et al.
Publicado: (2025)
por: Attali, Hugo, et al.
Publicado: (2025)
Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision
por: Tian, Yuxing, et al.
Publicado: (2026)
por: Tian, Yuxing, et al.
Publicado: (2026)
Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
por: Davila, Randy, et al.
Publicado: (2025)
por: Davila, Randy, et al.
Publicado: (2025)
Commute Graph Neural Networks
por: Zhuo, Wei, et al.
Publicado: (2024)
por: Zhuo, Wei, et al.
Publicado: (2024)
Residual Reweighted Conformal Prediction for Graph Neural Networks
por: Zhang, Zheng, et al.
Publicado: (2025)
por: Zhang, Zheng, et al.
Publicado: (2025)
Causal Graph Neural Networks for Wildfire Danger Prediction
por: Zhao, Shan, et al.
Publicado: (2024)
por: Zhao, Shan, et al.
Publicado: (2024)
SGNNBench: A Holistic Evaluation of Spiking Graph Neural Network on Large-scale Graph
por: Zhang, Huizhe, et al.
Publicado: (2025)
por: Zhang, Huizhe, et al.
Publicado: (2025)
Graph Neural Networks with Diversity-aware Neighbor Selection and Dynamic Multi-scale Fusion for Multivariate Time Series Forecasting
por: Xu, Jingqi, et al.
Publicado: (2025)
por: Xu, Jingqi, et al.
Publicado: (2025)
On the Spatiotemporal Dynamics of Generalization in Neural Networks
por: Wei, Zichao
Publicado: (2026)
por: Wei, Zichao
Publicado: (2026)
MA2GCN: Multi Adjacency relationship Attention Graph Convolutional Networks for Traffic Prediction using Trajectory data
por: Sun, Zhengke, et al.
Publicado: (2024)
por: Sun, Zhengke, et al.
Publicado: (2024)
DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling
por: Acosta, Carlo Malapad, et al.
Publicado: (2025)
por: Acosta, Carlo Malapad, et al.
Publicado: (2025)
Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
por: Lischka, Attila, et al.
Publicado: (2025)
por: Lischka, Attila, et al.
Publicado: (2025)
BeMap: Balanced Message Passing for Fair Graph Neural Network
por: Lin, Xiao, et al.
Publicado: (2023)
por: Lin, Xiao, et al.
Publicado: (2023)
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
por: Qiao, Yiran, et al.
Publicado: (2024)
por: Qiao, Yiran, et al.
Publicado: (2024)
MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
por: Wu, Mei, et al.
Publicado: (2025)
por: Wu, Mei, et al.
Publicado: (2025)
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
por: Tiukhova, Elena, et al.
Publicado: (2023)
por: Tiukhova, Elena, et al.
Publicado: (2023)
Physics-inspired Energy Transition Neural Network for Sequence Learning
por: Wu, Zhou, et al.
Publicado: (2025)
por: Wu, Zhou, et al.
Publicado: (2025)
Sparse Decomposition of Graph Neural Networks
por: Hu, Yaochen, et al.
Publicado: (2024)
por: Hu, Yaochen, et al.
Publicado: (2024)
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
por: Bei, Yuanchen, et al.
Publicado: (2024)
por: Bei, Yuanchen, et al.
Publicado: (2024)
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series
por: Brachet, Alexis-Raja, et al.
Publicado: (2024)
por: Brachet, Alexis-Raja, et al.
Publicado: (2024)
Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph
por: Boll, Heloisa Oss, et al.
Publicado: (2024)
por: Boll, Heloisa Oss, et al.
Publicado: (2024)
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs
por: Beddar-Wiesing, Silvia, et al.
Publicado: (2022)
por: Beddar-Wiesing, Silvia, et al.
Publicado: (2022)
Differentiable Cluster Graph Neural Network
por: Dong, Yanfei, et al.
Publicado: (2024)
por: Dong, Yanfei, et al.
Publicado: (2024)
Graph Unlearning: Efficient Node Removal in Graph Neural Networks
por: Guan, Faqian, et al.
Publicado: (2025)
por: Guan, Faqian, et al.
Publicado: (2025)
UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction
por: Xin, Weilin, et al.
Publicado: (2025)
por: Xin, Weilin, et al.
Publicado: (2025)
Generative Urban Flow Modeling: From Geometry to Airflow with Graph Diffusion
por: Giral, Francisco, et al.
Publicado: (2025)
por: Giral, Francisco, et al.
Publicado: (2025)
Ejemplares similares
-
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
por: Nie, Tong, et al.
Publicado: (2025) -
Conformalized Link Prediction on Graph Neural Networks
por: Zhao, Tianyi, et al.
Publicado: (2024) -
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction
por: Mi, Yuan, et al.
Publicado: (2024) -
Graph Neural Diffusion Networks for Semi-supervised Learning
por: Ye, Wei, et al.
Publicado: (2022) -
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
por: Zhang, He, et al.
Publicado: (2022)