Image de couverture de livre

Temporal Hyperbolic Graph Representation Learning for Scale-Free Internet Routing and Delay Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kuo, Yi-Ling, Tien, Hao-Yu, Tsai, Shih-Yu
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Networking and Internet Architecture
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
par: Rong, Yi, et autres
Publié: (2024)

Deep Learning Network-Temporal Models For Traffic Prediction
par: Xin, Yufeng, et autres
Publié: (2026)

Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks
par: He, Xiaoyu, et autres
Publié: (2026)

PLATONT: Learning a Platonic Representation for Unified Network Tomography
par: Du, Chengze, et autres
Publié: (2025)

TRACE: Traceroute-based Internet Route change Analysis with Ensemble Learning
par: Suzuki, Raul, et autres
Publié: (2026)

Survey of Graph Neural Network for Internet of Things and NextG Networks
par: Moorthy, Sabarish Krishna, et autres
Publié: (2024)

From GNNs to Symbolic Surrogates via Kolmogorov-Arnold Networks for Delay Prediction
par: Marouani, Sami, et autres
Publié: (2025)

A Reinforcement Learning-Based Telematic Routing Protocol for the Internet of Underwater Things
par: Homaei, Mohammadhossein, et autres
Publié: (2025)

iSatCR: Graph-Empowered Joint Onboard Computing and Routing for LEO Data Delivery
par: Luo, Jiangtao, et autres
Publié: (2026)

Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks
par: Wang, Xiucheng, et autres
Publié: (2025)

Reinforcement Learning for Opportunistic Routing in Software-Defined LEO-Terrestrial Systems
par: Krishnan, Sivaram, et autres
Publié: (2026)

Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning Approach
par: Wumian, Wang, et autres
Publié: (2024)

Knowledge-Guided Machine Learning for Stabilizing Near-Shortest Path Routing
par: Chen, Yung-Fu, et autres
Publié: (2025)

Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms
par: Boltres, Andreas, et autres
Publié: (2026)

Channel Gain Map Construction based on Subregional Learning and Prediction
par: Chen, Jiayi, et autres
Publié: (2025)

A Novel Reinforcement Learning Routing Algorithm for Congestion Control in Complex Networks
par: Yajadda, Seyed Hassan, et autres
Publié: (2023)

Q-Learning-Based Time-Critical Data Aggregation Scheduling in IoT
par: Vo, Van-Vi, et autres
Publié: (2025)

Dynamic Preference Multi-Objective Reinforcement Learning for Internet Network Management
par: Heo, DongNyeong, et autres
Publié: (2025)

Open World Learning Graph Convolution for Latency Estimation in Routing Networks
par: Jin, Yifei, et autres
Publié: (2022)

Reinforcement Learning with Graph Attention for Routing and Wavelength Assignment with Lightpath Reuse
par: Doherty, Michael, et autres
Publié: (2025)

Routing for Large ML Models
par: Cohen, Ofir, et autres
Publié: (2025)

Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics
par: Boltres, Andreas, et autres
Publié: (2024)

Bridging Local and Global Knowledge: Cascaded Mixture-of-Experts Learning for Near-Shortest Path Routing
par: Chen, Yung-Fu, et autres
Publié: (2026)

Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks
par: Zhou, Fangtong, et autres
Publié: (2025)

TURBOTEST: Learning When Less is Enough through Early Termination of Internet Speed Tests
par: Manda, Haarika, et autres
Publié: (2025)

V2N Service Scaling with Deep Reinforcement Learning
par: Hsu, Cyril Shih-Huan, et autres
Publié: (2023)

Context-Aware Hybrid Routing in Bluetooth Mesh Networks Using Multi-Model Machine Learning and AODV Fallback
par: Islam, Md Sajid, et autres
Publié: (2025)

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things
par: Wang, Heqiang, et autres
Publié: (2025)

Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder
par: Anyfantis, Georgios, et autres
Publié: (2026)

A Multi-Agent, Policy-Gradient approach to Network Routing
par: Tao, Nigel, et autres
Publié: (2025)

Representation Learning of Tangled Key-Value Sequence Data for Early Classification
par: Duan, Tao, et autres
Publié: (2024)

The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
par: Zhao, Yuqi, et autres
Publié: (2025)

Graph Representation Learning for Contention and Interference Management in Wireless Networks
par: Gu, Zhouyou, et autres
Publié: (2024)

RAILS: Risk-Aware Iterated Local Search for Joint SLA Decomposition and Service Provider Management in Multi-Domain Networks
par: Hsu, Cyril Shih-Huan, et autres
Publié: (2025)

Joint Task Offloading and Resource Allocation in Low-Altitude MEC via Graph Attention Diffusion
par: Xue, Yifan, et autres
Publié: (2025)

Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework
par: Ponraj, Riya, et autres
Publié: (2025)

ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection
par: Luo, Xuanhao, et autres
Publié: (2025)

Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction
par: Chu, Lei, et autres
Publié: (2024)

Improved Q-learning based Multi-hop Routing for UAV-Assisted Communication
par: Sharvari, N P, et autres
Publié: (2024)

Predictive-State Communication: Innovation Coding and Reconciliation under Delay
par: Ercetin, Ozgur, et autres
Publié: (2026)