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Network Embedding

Network Embedding, also known as "Network Representation Learning", is a collective term for techniques for mapping graph nodes to vectors of real numbers in a multidimensional space. To be useful, a good embedding should preserve the structure of the graph. The vectors can then be used as input to various network and graph analysis tasks, such as link prediction

Source: Tutorial on NLP-Inspired Network Embedding

Papers

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Showing 251–275 of 403 papers

TitleStatusHype
AHINE: Adaptive Heterogeneous Information Network Embedding—0
Aligning context-based statistical models of language with brain activity during reading—0
Aligning Users Across Social Networks Using Network Embedding—0
ALPINE: Active Link Prediction using Network Embedding—0
A Model-data-driven Network Embedding Multidimensional Features for Tomographic SAR Imaging—0
A multi-domain virtual network embedding algorithm with delay prediction—0
A Multi-Domain VNE Algorithm based on Load Balancing in the IoT networks—0
A multi-domain VNE algorithm based on multi-objective optimization for IoD architecture in Industry 4.0—0
A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning—0
A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction—0
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection—0
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks—0
A novel stochastic model based on echo state networks for hydrological time series forecasting—0
ASBERT: Siamese and Triplet network embedding for open question answering—0
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks—0
Associative Learning for Network Embedding—0
A Survey on Signed Graph Embedding: Methods and Applications—0
Attention Models with Random Features for Multi-layered Graph Embeddings—0
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN—0
Attributed Network Embedding for Learning in a Dynamic Environment—0
Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes—0
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives—0
A Weakly Supervised Segmentation Network Embedding Cross-scale Attention Guidance and Noise-sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors—0
Barlow Graph Auto-Encoder for Unsupervised Network Embedding—0
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks—0
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