[HTML][HTML] Graph neural networks for intelligent modelling in network management and orchestration: a survey on communications
The advancing applications based on machine learning and deep learning in
communication networks have been exponentially increasing in the system architectures of …
communication networks have been exponentially increasing in the system architectures of …
[HTML][HTML] Applicability of deep reinforcement learning for efficient federated learning in massive iot communications
To build intelligent model learning in conventional architecture, the local data are required to
be transmitted toward the cloud server, which causes heavy backhaul congestion, leakage …
be transmitted toward the cloud server, which causes heavy backhaul congestion, leakage …
Joint routing and scheduling optimization in time-sensitive networks using graph-convolutional-network-based deep reinforcement learning
The growing number of Internet of Things (IoT) devices brings enormous time-sensitive
applications, which require real-time transmission to effectuate communication services. The …
applications, which require real-time transmission to effectuate communication services. The …
Optimized multi-service tasks offloading for federated learning in edge virtualization
Edge federated learning (EFL) utilizes edge computing (EC) to alleviate direct round
communications of multi-dimensional model updates between local participants and the …
communications of multi-dimensional model updates between local participants and the …
A survey on influence maximization: From an ml-based combinatorial optimization
Influence Maximization (IM) is a classical combinatorial optimization problem, which can be
widely used in mobile networks, social computing, and recommendation systems. It aims at …
widely used in mobile networks, social computing, and recommendation systems. It aims at …
[HTML][HTML] Complex graph neural networks for medication interaction verification
G Westarb, SF Stefenon, AF Hoppe… - Journal of Intelligent …, 2023 - content.iospress.com
This paper presents the development and application of graph neural networks to verify drug
interactions, consisting of drug-protein networks. For this, the DrugBank databases were …
interactions, consisting of drug-protein networks. For this, the DrugBank databases were …
Digital twin-assisted service function chaining in multi-domain computing power networks with multi-agent reinforcement learning
K Wang, P Yuan, MA Jan, F Khan, TR Gadekallu… - Future Generation …, 2024 - Elsevier
The emerging computing power network (CPN) is believed to undergo the paradigm
reformation of network function virtualization (NFV) and service function chaining (SFC). It is …
reformation of network function virtualization (NFV) and service function chaining (SFC). It is …
A Two-Stage GCN-Based Deep Reinforcement Learning Framework for SFC Embedding in Multi-Datacenter Networks
Network Function Virtualization (NFV), which decouples network functions from hardware
and transforms them into Virtual Network Functions (VNFs), is a crucial technology for data …
and transforms them into Virtual Network Functions (VNFs), is a crucial technology for data …
Cold-start aware cloud-native service function chain caching in resource-constrained edge: A reinforcement learning approach
J Zhang, H Yu, G Fan, Z Li - Computer Communications, 2022 - Elsevier
Abstract Virtualized Network Functions (VNF), Service Function Chains (SFC) and Network
Functions Virtualization (NFV) architecture are promising basis of modern network …
Functions Virtualization (NFV) architecture are promising basis of modern network …
Queue-Aware Service Orchestration and Adaptive Parallel Traffic Scheduling Optimization in SDNFV-Enabled Cloud Computing
J Chen, J Chen, K Guo - IEEE Transactions on Cloud …, 2023 - ieeexplore.ieee.org
Owing to software defined network function virtualization (SDNFV), network services can be
implemented as service function chains (SFCs) in SDNFV-enabled Cloud Computing. SFCs …
implemented as service function chains (SFCs) in SDNFV-enabled Cloud Computing. SFCs …