Results 1 to 10 of about 41,814 (294)
Variational quantum algorithm for node embedding [PDF]
Fundamental ResearchQuantum machine learning has made remarkable progress in many important tasks. However, the gate complexity of the initial state preparation is seldom considered in lots of quantum machine learning algorithms, making them non-end-to-end.
Zeng-rong Zhou, Hang Li, Gui-Lu Long
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Dynamic Community Detection Method of a Social Network Based on Node Embedding Representation [PDF]
Mathematics, 2022 The node embedding method enables network structure feature learning and representation for social network community detection. However, the traditional node embedding method only focuses on a node’s individual feature representation and ignores the ...
Bo Zhang +6 more
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Node embedding-based graph autoencoder outlier detection for adverse pregnancy outcomes [PDF]
Scientific Reports, 2023 Adverse pregnancy outcomes, such as low birth weight (LBW) and preterm birth (PTB), can have serious consequences for both the mother and infant. Early prediction of such outcomes is important for their prevention.
Wasif Khan +8 more
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Multi-Scale attributed node embedding [PDF]
Journal of Complex Networks, 2021 Abstract We present network embedding algorithms that capture information about a node from the local distribution over node attributes around it, as observed over random walks following an approach similar to Skip-gram. Observations from neighbourhoods of different sizes are either pooled (AE) or encoded distinctly in a multi-scale ...
Benedek Rozemberczki +2 more
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A Systematic Evaluation of Node Embedding Robustness [PDF]
CoRR, 2022 Node embedding methods map network nodes to low dimensional vectors that can be subsequently used in a variety of downstream prediction tasks. The popularity of these methods has grown significantly in recent years, yet, their robustness to perturbations of the input data is still poorly understood.
Alexandru Cristian Mara +3 more
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Virtual network embedding method based on node delay perception [PDF]
IET NetworksWireless virtual network uses software defined network and network function virtualisation technologies to create multiple logically isolated virtual networks on a physical wireless network.
Yaning Wang, Hui Zhi
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Multiplex Network Embedding Model with High-Order Node Dependence [PDF]
Complexity, 2021 Multiplex networks have been widely used in information diffusion, social networks, transport, and biology multiomics. They contain multiple types of relations between nodes, in which each type of the relation is intuitively modeled as one layer.
Nianwen Ning +3 more
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A Node Embedding-Based Influential Spreaders Identification Approach [PDF]
Mathematics, 2020 Node embedding is a representation learning technique that maps network nodes into lower-dimensional vector space. Embedding nodes into vector space can benefit network analysis tasks, such as community detection, link prediction, and influential node ...
Dongming Chen +4 more
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NAGNE: Node-to-Attribute Generation Network Embedding for Heterogeneous Network [PDF]
Applied SciencesHeterogeneous network embedding aims to project multiple types of nodes into a low-dimensional space, and has become increasingly ubiquitous. However, several challenges have not been addressed so far.
Zheding Zhang +4 more
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From node embedding to community embedding on graphs [PDF]
, 2019 In the last few years, graphs have become an instinctive representative tool to better study complex structures. For example, in chemistry, it is common to represent and study the interaction between different proteins as a graph, reducing the experimental costs. Similarly, with the consolidation of Web 2.0 and the rise of Web 3.0, social networks have
Cavallari, Sandro
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