Results 41 to 50 of about 8,419,643 (305)
Deep Dynamic Network Embedding for Link Prediction
IEEE Access, 2018 Network embedding task aims at learning low-dimension latent representations of vertices while preserving the structure of a network simultaneously. Most existing network embedding methods mainly focus on static networks, which extract and condense the ...
Taisong Li +4 more
doaj +1 more source
Multi-Task Network Representation Learning
Frontiers in Neuroscience, 2020 Networks, such as social networks, biochemical networks, and protein-protein interaction networks are ubiquitous in the real world. Network representation learning aims to embed nodes in a network as low-dimensional, dense, real-valued vectors, and ...
Yu Xie +4 more
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Distributed Virtual Network Embedding for Software-Defined Networks Using Multiagent Systems
IEEE Access, 2021 Virtual Network Embedding (VNE), which provides methods to assign multiple Virtual Networks (VN) to a single physical Substrate Network (SN), is an important task in network virtualization. The main problem in VNE is the efficiency of assigning customers'
Ali Akbar Nasiri +2 more
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Adversarial Deep Network Embedding for Cross-network Node Classification [PDF]
AAAI Conference on Artificial Intelligence, 2020 In this paper, the task of cross-network node classification, which leverages the abundant labeled nodes from a source network to help classify unlabeled nodes in a target network, is studied.
X. Shen +4 more
semanticscholar +1 more source
Conditional Network Embeddings
, 2018 Network Embeddings (NEs) map the nodes of a given network into $d$-dimensional Euclidean space $\mathbb{R}^d$. Ideally, this mapping is such that `similar' nodes are mapped onto nearby points, such that the NE can be used for purposes such as link prediction (if `similar' means being `more likely to be connected') or classification (if `similar' means `
Kang, Bo, Lijffijt, Jefrey, De Bie, Tijl
openaire +3 more sources
Applied Sciences, 2022 Aiming at the current situation of network embedding research focusing on dynamic homogeneous network embedding and static heterogeneous information network embedding but lack of dynamic information utilization, this paper proposes a dynamic ...
Hualong Bu +3 more
doaj +1 more source
Memetic Multi-Objective Particle Swarm Optimization-Based Energy-Aware Virtual Network Embedding [PDF]
, 2015 In cloud infrastructure, accommodating multiple virtual networks on a single physical network reduces power consumed by physical resources and minimizes cost of operating cloud data centers. However, mapping multiple virtual network resources to physical
Shahin, Ashraf A.
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Learning Signed Network Embedding via Graph Attention
AAAI Conference on Artificial Intelligence, 2020 Learning the low-dimensional representations of graphs (i.e., network embedding) plays a critical role in network analysis and facilitates many downstream tasks.
Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang
semanticscholar +1 more source
LATTE: Application Oriented Social Network Embedding
, 2019 In recent years, many research works propose to embed the network structured data into a low-dimensional feature space, where each node is represented as a feature vector.
Bai, Jiyang, Meng, Lin, Zhang, Jiawei
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On distributed virtual network embedding with guarantees [PDF]
, 2016 To provide wide-area network services, resources from different infrastructure providers are needed. Leveraging the consensus-based resource allocation literature, we propose a general distributed auction mechanism for the (NP-hard) virtual network (VNET)
Di Paola, Donato +2 more
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