Cover Image

Data-driven Intra-Autonomous Systems Graph Generator

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dadauto, Caio Vinicius, da Fonseca, Nelson Luis Saldanha, Torres, Ricardo da Silva
Format:	Preprint
Published:	2023
Subjects:	Networking and Internet Architecture Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Early Detection of Network Service Degradation: An Intra-Flow Approach
by: Bicski, Balint, et al.
Published: (2024)

Sustainable Diffusion-based Incentive Mechanism for Generative AI-driven Digital Twins in Industrial Cyber-Physical Systems
by: Wen, Jinbo, et al.
Published: (2024)

eXplainable Artificial Intelligence for RL-based Networking Solutions
by: Murcia, Yeison Stiven, et al.
Published: (2025)

Agent-driven Generative Semantic Communication with Cross-Modality and Prediction
by: Yang, Wanting, et al.
Published: (2024)

U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning
by: Wu, Yiang, et al.
Published: (2026)

Inference-to-complete: A High-performance and Programmable Data-plane Co-processor for Neural-network-driven Traffic Analysis
by: Wen, Dong, et al.
Published: (2024)

Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing
by: Sun, Zekai, et al.
Published: (2025)

GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks
by: Liang, Ruihuai, et al.
Published: (2024)

iSatCR: Graph-Empowered Joint Onboard Computing and Routing for LEO Data Delivery
by: Luo, Jiangtao, et al.
Published: (2026)

System States Forecasting of Microservices with Dynamic Spatio-Temporal Data
by: Xu, Yifei, et al.
Published: (2024)

Online Learning for Autonomous Management of Intent-based 6G Networks
by: Karakaya, Erciyes, et al.
Published: (2024)

Real-Time Network Traffic Forecasting with Missing Data: A Generative Model Approach
by: Deng, Lei, et al.
Published: (2025)

Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications
by: Islam, Nazmul, et al.
Published: (2024)

Survey of Graph Neural Network for Internet of Things and NextG Networks
by: Moorthy, Sabarish Krishna, et al.
Published: (2024)

Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
by: Zhou, Fangtong, et al.
Published: (2025)

Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder
by: Anyfantis, Georgios, et al.
Published: (2026)

LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge
by: Zacharopoulos, Konstantinos, et al.
Published: (2024)

O-RAN xApps Conflict Management using Graph Convolutional Networks
by: Shami, Maryam Al, et al.
Published: (2025)

Data Augmentation for Traffic Classification
by: Wang, Chao, et al.
Published: (2024)

Temporal Hyperbolic Graph Representation Learning for Scale-Free Internet Routing and Delay Prediction
by: Kuo, Yi-Ling, et al.
Published: (2026)

Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks
by: Wang, Xiucheng, et al.
Published: (2025)

Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer
by: Hasan, Antor, et al.
Published: (2024)

Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
by: Isah, Abubakar, et al.
Published: (2025)

Joint Task Offloading and Resource Allocation in Low-Altitude MEC via Graph Attention Diffusion
by: Xue, Yifan, et al.
Published: (2025)

Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks
by: Gajjar, Pranshav, et al.
Published: (2024)

Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
by: Ji, Maoxin, et al.
Published: (2024)

M3Net: A Multi-Metric Mixture of Experts Network Digital Twin with Graph Neural Networks
by: Guda, Blessed, et al.
Published: (2025)

Data Driven Environmental Awareness Using Wireless Signals
by: Nasiri, Hossein, et al.
Published: (2024)

Data Matters: The Case of Predicting Mobile Cellular Traffic
by: Vesselinova, Natalia, et al.
Published: (2024)

Develop End-to-End Anomaly Detection System
by: Mengoli, Emanuele, et al.
Published: (2024)

Proactive SFC Provisioning with Forecast-Driven DRL in Data Centers
by: Moshiri, Parisa Fard, et al.
Published: (2026)

Closed-form congestion control via deep symbolic regression
by: Martins, Jean, et al.
Published: (2024)

Representation Learning of Tangled Key-Value Sequence Data for Early Classification
by: Duan, Tao, et al.
Published: (2024)

Intelligent Monitoring Framework for Cloud Services: A Data-Driven Approach
by: Srinivas, Pooja, et al.
Published: (2024)

Q-Learning-Based Time-Critical Data Aggregation Scheduling in IoT
by: Vo, Van-Vi, et al.
Published: (2025)

Interpretable Feature Learning in Multivariate Big Data Analysis for Network Monitoring
by: Camacho, José, et al.
Published: (2019)

Distributed Learning and Inference Systems: A Networking Perspective
by: Moussa, Hesham G., et al.
Published: (2025)

Automatic Generation of Digital Twins for Network Testing
by: Ding, Shenjia, et al.
Published: (2025)

A Deep Reinforcement Learning Framework for Optimizing Congestion Control in Data Centers
by: Ketabi, Shiva, et al.
Published: (2023)

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
by: Sun, Yuchang, et al.
Published: (2021)