PHGNet: Prototype-Guided Hypergraph Construction for Heterogeneous Spatiotemporal Forecasting
Fuente:
arXiv
Guardado en:
| Autores principales: | Gu, Ruiwen, Liu, Yahao, Liu, Zhenyu, Tan, Qitai, Zhang, Xiao-Ping |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
ADMFormer: An Adaptive-Decomposition Transformer with Time-Varying Masked Spatial Attention for Traffic Forecasting
por: Gu, Ruiwen, et al.
Publicado: (2026)
por: Gu, Ruiwen, et al.
Publicado: (2026)
Incident-Guided Spatiotemporal Traffic Forecasting
por: Fan, Lixiang, et al.
Publicado: (2026)
por: Fan, Lixiang, et al.
Publicado: (2026)
Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling
por: Zhang, Zhiguo, et al.
Publicado: (2025)
por: Zhang, Zhiguo, et al.
Publicado: (2025)
A Multi-View Multi-Timescale Hypergraph-Empowered Spatiotemporal Framework for EV Charging Forecasting
por: Li, Jinhao, et al.
Publicado: (2025)
por: Li, Jinhao, et al.
Publicado: (2025)
Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems
por: Wang, Ling, et al.
Publicado: (2026)
por: Wang, Ling, et al.
Publicado: (2026)
Heterogeneous Temporal Hypergraph Neural Network
por: Liu, Huan, et al.
Publicado: (2025)
por: Liu, Huan, et al.
Publicado: (2025)
Scalable Heterogeneous Graph Learning via Heterogeneous-aware Orthogonal Prototype Experts
por: Zhou, Wei, et al.
Publicado: (2026)
por: Zhou, Wei, et al.
Publicado: (2026)
S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting
por: Wang, Wenshuo, et al.
Publicado: (2025)
por: Wang, Wenshuo, et al.
Publicado: (2025)
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping
por: An, Bang, et al.
Publicado: (2024)
por: An, Bang, et al.
Publicado: (2024)
Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management
por: Li, Mo, et al.
Publicado: (2025)
por: Li, Mo, et al.
Publicado: (2025)
Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting
por: Liu, Fuqiang, et al.
Publicado: (2025)
por: Liu, Fuqiang, et al.
Publicado: (2025)
SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction
por: Gao, Xiaowei, et al.
Publicado: (2024)
por: Gao, Xiaowei, et al.
Publicado: (2024)
DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information Transformation
por: Peng, Hao, et al.
Publicado: (2020)
por: Peng, Hao, et al.
Publicado: (2020)
SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
por: Tan, Qitai, et al.
Publicado: (2025)
por: Tan, Qitai, et al.
Publicado: (2025)
Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation
por: Jin, Cheng, et al.
Publicado: (2025)
por: Jin, Cheng, et al.
Publicado: (2025)
Spatiotemporal Causal Decoupling Model for Air Quality Forecasting
por: Ma, Jiaming, et al.
Publicado: (2025)
por: Ma, Jiaming, et al.
Publicado: (2025)
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
por: Wu, Xinghao, et al.
Publicado: (2025)
por: Wu, Xinghao, et al.
Publicado: (2025)
Collaborative Deterministic-Probabilistic Forecasting for Diverse Spatiotemporal Systems
por: Sheng, Zhi, et al.
Publicado: (2025)
por: Sheng, Zhi, et al.
Publicado: (2025)
Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data
por: Qi, Lele, et al.
Publicado: (2025)
por: Qi, Lele, et al.
Publicado: (2025)
Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction
por: Shen, Xu, et al.
Publicado: (2025)
por: Shen, Xu, et al.
Publicado: (2025)
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
por: Jin, Hong, et al.
Publicado: (2025)
por: Jin, Hong, et al.
Publicado: (2025)
Hypergraph based Understanding for Document Semantic Entity Recognition
por: Li, Qiwei, et al.
Publicado: (2024)
por: Li, Qiwei, et al.
Publicado: (2024)
Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery
por: He, Buyun, et al.
Publicado: (2025)
por: He, Buyun, et al.
Publicado: (2025)
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
por: Song, Yumeng, et al.
Publicado: (2023)
por: Song, Yumeng, et al.
Publicado: (2023)
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
por: Wang, Hongjun, et al.
Publicado: (2024)
por: Wang, Hongjun, et al.
Publicado: (2024)
Heterogeneous Hypergraph Embedding for Recommendation Systems
por: Sakong, Darnbi, et al.
Publicado: (2024)
por: Sakong, Darnbi, et al.
Publicado: (2024)
LangYa: Revolutionizing Cross-Spatiotemporal Ocean Forecasting
por: Yang, Nan, et al.
Publicado: (2024)
por: Yang, Nan, et al.
Publicado: (2024)
MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines
por: Zhang, Yaolun, et al.
Publicado: (2025)
por: Zhang, Yaolun, et al.
Publicado: (2025)
Bridging Dual Knowledge Graphs for Multi-Hop Question Answering in Construction Safety
por: Zhang, Yuxin, et al.
Publicado: (2025)
por: Zhang, Yuxin, et al.
Publicado: (2025)
StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser
por: Zhang, Jintao, et al.
Publicado: (2026)
por: Zhang, Jintao, et al.
Publicado: (2026)
Negative Prototypes Guided Contrastive Learning for WSOD
por: Zhang, Yu, et al.
Publicado: (2024)
por: Zhang, Yu, et al.
Publicado: (2024)
Temporally Detailed Hypergraph Neural ODEs for Disease Progression Modeling
por: Xiao, Tingsong, et al.
Publicado: (2025)
por: Xiao, Tingsong, et al.
Publicado: (2025)
Error Notebook-Guided, Training-Free Part Retrieval in 3D CAD Assemblies via Vision-Language Models
por: Liu, Yunqing, et al.
Publicado: (2025)
por: Liu, Yunqing, et al.
Publicado: (2025)
Hybrid Quantum-Classical Spatiotemporal Forecasting for 3D Cloud Fields
por: Wang, Fu, et al.
Publicado: (2026)
por: Wang, Fu, et al.
Publicado: (2026)
FUTURE-VLA: Forecasting Unified Trajectories Under Real-time Execution
por: Fan, Jingjing, et al.
Publicado: (2026)
por: Fan, Jingjing, et al.
Publicado: (2026)
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval
por: Song, Yifan, et al.
Publicado: (2026)
por: Song, Yifan, et al.
Publicado: (2026)
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology
por: Sakhinana, Sagar Srinivas, et al.
Publicado: (2024)
por: Sakhinana, Sagar Srinivas, et al.
Publicado: (2024)
Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models
por: Wu, Hao, et al.
Publicado: (2025)
por: Wu, Hao, et al.
Publicado: (2025)
From Coordinate Matching to Structural Alignment: Rethinking Prototype Alignment in Heterogeneous Federated Learning
por: Wu, Xinghao, et al.
Publicado: (2026)
por: Wu, Xinghao, et al.
Publicado: (2026)
Structure-Aware Prototype Guided Trusted Multi-View Classification
por: Huang, Haojian, et al.
Publicado: (2025)
por: Huang, Haojian, et al.
Publicado: (2025)
Ejemplares similares
-
ADMFormer: An Adaptive-Decomposition Transformer with Time-Varying Masked Spatial Attention for Traffic Forecasting
por: Gu, Ruiwen, et al.
Publicado: (2026) -
Incident-Guided Spatiotemporal Traffic Forecasting
por: Fan, Lixiang, et al.
Publicado: (2026) -
Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling
por: Zhang, Zhiguo, et al.
Publicado: (2025) -
A Multi-View Multi-Timescale Hypergraph-Empowered Spatiotemporal Framework for EV Charging Forecasting
por: Li, Jinhao, et al.
Publicado: (2025) -
Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems
por: Wang, Ling, et al.
Publicado: (2026)