Imagen de Portada

Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tang, Yihong, He, Junlin, Zhao, Zhan
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition
por: Ge, Wen, et al.
Publicado: (2024)

Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware Initialization
por: He, Junlin, et al.
Publicado: (2026)

GRAF: Graph Attention-aware Fusion Networks
por: Kesimoglu, Ziynet Nesibe, et al.
Publicado: (2023)

LLMSynthor: Macro-Aligned Micro-Records Synthesis with Large Language Models
por: Tang, Yihong, et al.
Publicado: (2025)

Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention Networks
por: Wang, Kun, et al.
Publicado: (2020)

Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
por: Huang, Zhixin, et al.
Publicado: (2024)

Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks
por: Yang, Yuhan, et al.
Publicado: (2025)

Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand
por: Tang, Yihong, et al.
Publicado: (2026)

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
por: Hoang-Minh, Thanh
Publicado: (2025)

Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Prediction
por: Li, Shibo, et al.
Publicado: (2024)

HBGSA: Hydrogen Bond Graph with Self-Attention for Drug-Target Binding Affinity Prediction
por: Kong, Junxiao, et al.
Publicado: (2026)

Graph Hierarchical Recurrence for Long-Range Generalization
por: Carotti, Stefano, et al.
Publicado: (2026)

TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records
por: Olaimat, Mohammad Al, et al.
Publicado: (2024)

MSGAT-GRU: A Multi-Scale Graph Attention and Recurrent Model for Spatiotemporal Road Accident Prediction
por: Pinjala, Thrinadh, et al.
Publicado: (2025)

RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
por: He, Haoyu, et al.
Publicado: (2025)

Process-aware Human Activity Recognition
por: Zheng, Jiawei, et al.
Publicado: (2024)

Hierarchical Attention Models for Multi-Relational Graphs
por: Iyer, Roshni G., et al.
Publicado: (2024)

Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE
por: Xu, Fan, et al.
Publicado: (2026)

Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
por: Tonmoy, M Tanjid Hasan, et al.
Publicado: (2021)

Hierarchical Attention-based Graph Neural Network with Relevance-driven Pruning
por: Kum, Seungwoo
Publicado: (2026)

Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming
por: Zhao, Yingxue, et al.
Publicado: (2025)

Hierarchical Federated Learning for Social Network with Mobility
por: Chen, Zeyu, et al.
Publicado: (2025)

Uncertainty-aware Human Mobility Modeling and Anomaly Detection
por: Wen, Haomin, et al.
Publicado: (2024)

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
por: Wang, Yu, et al.
Publicado: (2023)

Drug Synergy Prediction via Residual Graph Isomorphism Networks and Attention Mechanisms
por: Song, Jiyan, et al.
Publicado: (2026)

On the Expressiveness of Softmax Attention: A Recurrent Neural Network Perspective
por: Mongaras, Gabriel, et al.
Publicado: (2025)

A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks
por: Alkadamani, Mohamad, et al.
Publicado: (2026)

Efficient Curvature-aware Graph Network
por: Fei, Chaoqun, et al.
Publicado: (2025)

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction
por: Rajamohan, Haresh Rengaraj, et al.
Publicado: (2026)

Neurocircuitry-Inspired Hierarchical Graph Causal Attention Networks for Explainable Depression Identification
por: Chen, Weidao, et al.
Publicado: (2025)

HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization
por: Takagi, Shun, et al.
Publicado: (2024)

PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
por: Nguyen, Phong C. H., et al.
Publicado: (2024)

Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction
por: Abbas, Saram, 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)

Deep Graph Attention Networks
por: Kato, Jun, et al.
Publicado: (2024)

Hybrid-Hierarchical Fashion Graph Attention Network for Compatibility-Oriented and Personalized Outfit Recommendation
por: Saed, Sajjad, et al.
Publicado: (2025)

HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
por: Chen, Ling, et al.
Publicado: (2021)

Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis
por: Liao, Xishun, et al.
Publicado: (2024)

Solving Oversmoothing in GNNs via Nonlocal Message Passing: Algebraic Smoothing and Depth Scalability
por: Guan, Weiqi, et al.
Publicado: (2025)

Interpretable Hierarchical Attention Network for Medical Condition Identification
por: Fang, Dongping, et al.
Publicado: (2024)