Results 41 to 50 of about 138,699 (301)
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism
, 2021 Network representation learning or embedding aims to project the network into a low-dimensional space that can be devoted to different network tasks.
Jing, Xin +7 more
core +1 more source
Mutually reinforced network embedding: An integrated approach to research paper recommendation
, 2022 With the rapid growth of research publications, it has become time-consuming and cumbersome for researchers to find research papers relevant to their research.
Mei, Xin +5 more
core +1 more source
Embedding Wheel - like Networks
Iranian Journal of Mathematical Sciences and Informatics, 2023 Summary: One of the important features of an interconnection network is its ability to efficiently simulate programs or parallel algorithms written for other architectures. Such a simulation problem can be mathematically formulated as a graph embedding problem. In this paper we compute the lower bound for dilation and congestion of embedding onto wheel-
Rajan, R. Sundara +4 more
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Network Service Embedding Across Multiple Resource Dimensions
, 2021 Network Function Virtualization (NFV) poses the need for efficient embeddings of network services, usually defined in the form of service graphs, associated with resource and bandwidth demands.
Pentelas, Angelos +3 more
core +1 more source
Embedding and Trajectories of Temporal Networks
IEEE Access, 2023 Temporal network data are increasingly available in various domains, and often represent highly complex systems with intricate structural and temporal evolutions. Due to the difficulty of processing such complex data, it may be useful to coarse grain temporal network data into a numeric trajectory embedded in a low-dimensional space. We refer to such a
Chanon Thongprayoon +2 more
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Greedy routing and virtual coordinates for future networks [PDF]
, 2012 At the core of the Internet, routers are continuously struggling with ever-growing routing and forwarding tables. Although hardware advances do accommodate such a growth, we anticipate new requirements e.g.
Bouabene, Ghazi
core +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
doaj +1 more source
Proceedings of the AAAI Conference on Artificial Intelligence, 2018 Learning low-dimensional representations of networks has proved effective in a variety of tasks such as node classification, link prediction and network visualization. Existing methods can effectively encode different structural properties into the representations, such as neighborhood connectivity patterns, global structural role ...
Quanyu Dai +3 more
openaire +2 more sources
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
doaj +1 more source
Prediction of circRNA-miRNA Associations Based on Network Embedding [PDF]
, 2021 circRNA is a novel class of noncoding RNA with closed-loop structure. Increasing biological experiments have shown that circRNAs play an important role in many diseases by acting as a miRNA sponge to indirectly regulate the expression of miRNA target ...
Chen, Jianwei +23 more
core +1 more source