Cover Image

From GNNs to Symbolic Surrogates via Kolmogorov-Arnold Networks for Delay Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Marouani, Sami, Singh, Kamal, Jeudy, Baptiste, Habrard, Amaury
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable Reinforcement Learning for Load Balancing using Kolmogorov-Arnold Networks
by: Singh, Kamal, et al.
Published: (2025)

TSKAN: Interpretable Machine Learning for QoE modeling over Time Series Data
by: Singh, Kamal, et al.
Published: (2025)

Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction
by: Zeydan, Engin, et al.
Published: (2025)

F-KANs: Federated Kolmogorov-Arnold Networks
by: Zeydan, Engin, et al.
Published: (2024)

Fairness-Utilization Trade-off in Wireless Networks with Explainable Kolmogorov-Arnold Networks
by: Shokrnezhad, Masoud, 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)

Large Language Model-Driven Curriculum Design for Mobile Networks
by: Erak, Omar, et al.
Published: (2024)

Intelligent Dynamic Handover via AI-assisted Signal Quality Prediction in 6G Multi-RAT Networks
by: Bartsioka, Maria Lamprini A., et al.
Published: (2025)

Deep Learning Network-Temporal Models For Traffic Prediction
by: Xin, Yufeng, et al.
Published: (2026)

Context-Aware Mobile Network Performance Prediction Using Network & Remote Sensing Data
by: Shibli, Ali, et al.
Published: (2024)

NTP-INT: Network Traffic Prediction-Driven In-band Network Telemetry for High-load Switches
by: Zhang, Penghui, et al.
Published: (2025)

Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks
by: Maryam, Hafsa, et al.
Published: (2024)

Analyzing Symbolic Properties for DRL Agents in Systems and Networking
by: Zangooei, Mohammad, et al.
Published: (2026)

Offline to Online Learning for Real-Time Bandwidth Estimation
by: Gottipati, Aashish, et al.
Published: (2023)

Improving the Reliability of Cable Broadband Networks via Proactive Network Maintenance
by: Hu, Jiyao, et al.
Published: (2024)

Predictive-State Communication: Innovation Coding and Reconciliation under Delay
by: Ercetin, Ozgur, et al.
Published: (2026)

MILAAP: Mobile Link Allocation via Attention-based Prediction
by: Chen, Yung-Fu, et al.
Published: (2025)

Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior
by: Formis, Gabriele, et al.
Published: (2024)

DyPBP: Dynamic Peer Beneficialness Prediction for Cryptocurrency P2P Networking
by: Sakib, Nazmus, et al.
Published: (2025)

Machine Learning Epidemic Predictions Using Agent-based Wireless Sensor Network Models
by: Nwokoye, Chukwunonso Henry, et al.
Published: (2025)

MILD: Multi-Intent Learning and Disambiguation for Proactive Failure Prediction in Intent-based Networking
by: Hossain, Md. Kamrul, et al.
Published: (2026)

ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
by: Rong, Yi, et al.
Published: (2024)

Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures
by: Ayoub, Omran, et al.
Published: (2024)

A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning
by: Sivaroopan, Nirhoshan, et al.
Published: (2025)

Securing SIM-Assisted Wireless Networks via Quantum Reinforcement Learning
by: Hoang, Le-Hung, et al.
Published: (2026)

Which Deep Learner? A Systematic Evaluation of Advanced Deep Forecasting Models Accuracy and Efficiency for Network Traffic Prediction
by: Babai, Eilaf MA, et al.
Published: (2026)

Adaptive Alarm Threshold Prediction in 4G Mobile Networks: A Percentile-Guided Deep Learning Framework with Interpretable Outputs
by: Roy, Ayon, et al.
Published: (2026)

LPUF-AuthNet: A Lightweight PUF-Based IoT Authentication via Tandem Neural Networks and Split Learning
by: Mefgouda, Brahim, et al.
Published: (2024)

NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
by: Wang, Tongze, et al.
Published: (2024)

Lightweight Intrusion Detection in IoT via SHAP-Guided Feature Pruning and Knowledge-Distilled Kronecker Networks
by: Benaddi, Hafsa, et al.
Published: (2025)

Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission
by: Zhang, Ruichen, et al.
Published: (2024)

Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed
by: Yan, Jinzhu, et al.
Published: (2024)

TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Network
by: Alabbasi, Nouf, et al.
Published: (2024)

Enhancing Spectrum Efficiency in 6G Satellite Networks: A GAIL-Powered Policy Learning via Asynchronous Federated Inverse Reinforcement Learning
by: Hassan, Sheikh Salman, et al.
Published: (2024)

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

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

Meta-Continual Mobility Forecasting for Proactive Handover Prediction
by: Mandapati, Sasi Vardhan Reddy
Published: (2025)

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

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions
by: Boateng, Gordon Owusu, et al.
Published: (2024)

Using Causality for Enhanced Prediction of Web Traffic Time Series
by: Tian, Chang, et al.
Published: (2025)