Graph-based deep learning for communication networks: A survey

Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey

(2021) Mahmoud Abbasi et al.   COMPUTER COMMUNICATIONS

Discovering Attack Scenarios via Intrusion Alert Correlation Using Graph Convolutional Networks

(2021) Qiumei Cheng et al.   IEEE COMMUNICATIONS LETTERS

Graph neural network‐based virtual network function deployment optimization

(2021) Hee‐Gon Kim et al.   International Journal of Network Management

Graph Neural Networks: Architectures, Stability, and Transferability

(2021) Luana Ruiz et al.   PROCEEDINGS OF THE IEEE

DC-STGCN: Dual-Channel Based Graph Convolutional Networks for Network Traffic Forecasting

(2021) Chengsheng Pan et al.   Electronics

Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation

(2021) Arindam Chowdhury et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Applications of deep learning in stock market prediction: Recent progress

(2021) Weiwei Jiang   EXPERT SYSTEMS WITH APPLICATIONS

Mobile Data Traffic Prediction by Exploiting Time-Evolving User Mobility Patterns

(2021) Feiyang Sun et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Decentralized Inference With Graph Neural Networks in Wireless Communication Systems

(2021) Mengyuan Lee et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Automatic Virtual Network Embedding: A Deep Reinforcement Learning Approach With Graph Convolutional Networks

(2020) Zhongxia Yan et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Efficient Flow Migration for NFV with Graph-aware Deep Reinforcement Learning

(2020) Penghao Sun et al.   Computer Networks

RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN

(2020) Krzysztof Rusek et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

A Graph Convolutional Network-Based Deep Reinforcement Learning Approach for Resource Allocation in a Cognitive Radio Network

(2020) Di Zhao et al.   SENSORS

Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis

(2020) Yifei Shen et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Cooperative Caching and Fetching in D2D Communications - A Fully Decentralized Multi-Agent Reinforcement Learning Approach

(2020) Yan Yan et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

AutoML: A survey of the state-of-the-art

(2020) Xin He et al.   KNOWLEDGE-BASED SYSTEMS

Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction

(2020) Kaiwen He et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Idle Time Window Prediction in Cellular Networks with Deep Spatiotemporal Modeling

(2019) Luoyang Fang et al.   IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS

Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both?

(2019) Alessio Zappone et al.   IEEE TRANSACTIONS ON COMMUNICATIONS

Toward Greater Intelligence in Route Planning: A Graph-Aware Deep Learning Approach

(2019) Zirui Zhuang et al.   IEEE Systems Journal

Learning Graph Embedding With Adversarial Training Methods

(2019) Shirui Pan et al.   IEEE Transactions on Cybernetics

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Geospatial data to images: A deep-learning framework for traffic forecasting

(2018) Weiwei Jiang et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Message-Passing Neural Networks Learn Little’s Law

(2018) Krzysztof Rusek et al.   IEEE COMMUNICATIONS LETTERS

DeepComNet: Performance evaluation of network topologies using graph-based deep learning

(2018) Fabien Geyer   PERFORMANCE EVALUATION

Topology-Aware Prediction of Virtual Network Function Resource Requirements

(2017) Rashid Mijumbi et al.   IEEE Transactions on Network and Service Management

Topology-Aware Prediction of Virtual Network Function Resource Requirements

(2017) Rashid Mijumbi et al.   IEEE Transactions on Network and Service Management

Traffic prediction for dynamic traffic engineering

(2015) Tatsuya Otoshi et al.   Computer Networks

Are we ready for SDN? Implementation challenges for software-defined networks

(2013) Sakir Sezer et al.   IEEE COMMUNICATIONS MAGAZINE

The Graph Neural Network Model

(2008) F. Scarselli et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS