Copertina

Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Shengheng, Zhang, Tianqi, Fu, Ningning, Huang, Yongming
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Networking and Internet Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multi-grained spatial-temporal feature complementarity for accurate online cellular traffic prediction
di: Fu, Ningning, et al.
Pubblicazione: (2025)

Access Point Deployment for Localizing Accuracy and User Rate in Cell-Free Systems
di: Xu, Fanfei, et al.
Pubblicazione: (2024)

Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing Network
di: Zheng, Chong, et al.
Pubblicazione: (2024)

Fine-Grained AI Model Caching and Downloading With Coordinated Multipoint Broadcasting in Multi-Cell Edge Networks
di: Fu, Yang, et al.
Pubblicazione: (2025)

MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction
di: Ma, Hui, et al.
Pubblicazione: (2025)

A Q-learning-based QoS-aware multipath routing protocol in IoMT-based wireless body area network
di: Hosseinzadeh, Mehdi, et al.
Pubblicazione: (2026)

Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
di: Zheng, Bokeng, et al.
Pubblicazione: (2025)

Unsupervised Spatio-Temporal State Estimation for Fine-grained Adaptive Anomaly Diagnosis of Industrial Cyber-physical Systems
di: Sun, Haili, et al.
Pubblicazione: (2024)

A neural-network based anomaly detection system and a safety protocol to protect vehicular network
di: Franceschini, Marco
Pubblicazione: (2024)

Base Station Deployment under EMF constrain by Deep Reinforcement learning
di: Mallik, Mohammed, et al.
Pubblicazione: (2025)

Towards a graph-based foundation model for network traffic analysis
di: Van Langendonck, Louis, et al.
Pubblicazione: (2024)

LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
di: Zhang, Jierui, et al.
Pubblicazione: (2024)

Edge Intelligence Optimization for Large Language Model Inference with Batching and Quantization
di: Zhang, Xinyuan, et al.
Pubblicazione: (2024)

Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments
di: Huang, Yongming, et al.
Pubblicazione: (2024)

A hybrid IndRNNLSTM approach for real-time anomaly detection in software-defined networks
di: Salem, Sajjad, et al.
Pubblicazione: (2024)

Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy Networking
di: Liu, Zhang, et al.
Pubblicazione: (2025)

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
di: Kheddar, Hamza, et al.
Pubblicazione: (2023)

SABR: A Stable Adaptive Bitrate Framework Using Behavior Cloning Pretraining and Reinforcement Learning Fine-Tuning
di: Luo, Pengcheng, et al.
Pubblicazione: (2025)

From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics
di: Liu, Qinshuo, et al.
Pubblicazione: (2025)

An Agile Adaptation Method for Multi-mode Vehicle Communication Networks
di: He, Shiwen, et al.
Pubblicazione: (2024)

Sample Efficient Experience Replay in Non-stationary Environments
di: Duan, Tianyang, et al.
Pubblicazione: (2025)

Connectivity Management in Satellite-Aided Vehicular Networks with Multi-Head Attention-Based State Estimation
di: Althamary, Ibrahim, et al.
Pubblicazione: (2025)

A transformer-based deep q learning approach for dynamic load balancing in software-defined networks
di: Owusu, Evans Tetteh, et al.
Pubblicazione: (2025)

Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security
di: Zhang, Zifan, et al.
Pubblicazione: (2025)

Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization
di: Oh, Myeung Suk, et al.
Pubblicazione: (2025)

Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models
di: Yang, Ze, et al.
Pubblicazione: (2025)

Revisiting Outage for Edge Inference Systems
di: Wang, Zhanwei, et al.
Pubblicazione: (2025)

Wideband RF Radiance Field Modeling Using Frequency-embedded 3D Gaussian Splatting
di: Li, Zechen, et al.
Pubblicazione: (2025)

SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression
di: Lin, Zehang, et al.
Pubblicazione: (2025)

Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
di: Qu, Guanqiao, et al.
Pubblicazione: (2024)

A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission
di: Huang, Wenjun, et al.
Pubblicazione: (2024)

Network Topology Optimization via Deep Reinforcement Learning
di: Li, Zhuoran, et al.
Pubblicazione: (2022)

Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing
di: Gao, Song, et al.
Pubblicazione: (2025)

MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models
di: Jin, Lyudong, et al.
Pubblicazione: (2025)

Large Language Model (LLM)-enabled Reinforcement Learning for Wireless Network Optimization
di: Zheng, Jie, et al.
Pubblicazione: (2026)

Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing
di: Sun, Ziyu, et al.
Pubblicazione: (2024)

Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing
di: Qiang, Xianke, et al.
Pubblicazione: (2024)

Fast and Scalable Network Slicing by Integrating Deep Learning with Lagrangian Methods
di: Hu, Tianlun, et al.
Pubblicazione: (2024)

Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation
di: Alhussein, Omar, et al.
Pubblicazione: (2024)

NetGPT: Generative Pretrained Transformer for Network Traffic
di: Meng, Xuying, et al.
Pubblicazione: (2023)