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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 151–200 of 403 papers

TitleStatusHype
CANE: Context-Aware Network Embedding for Relation ModelingCode0
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to MillisecondsCode0
IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for RecommendationCode0
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node DescriptorsCode0
Contextual Regression: An Accurate and Conveniently Interpretable Nonlinear Model for Mining Discovery from Scientific DataCode0
mvn2vec: Preservation and Collaboration in Multi-View Network EmbeddingCode0
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network EmbeddingCode0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
Learning multi-resolution representations of research patterns in bibliographic networksCode0
mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network EmbeddingCode0
Network Embedding: on Compression and LearningCode0
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data ManifoldsCode0
Task-Guided Pair Embedding in Heterogeneous NetworkCode0
Global Vectors for Node RepresentationsCode0
Efficient Inner Product Approximation in Hybrid Spaces—0
Effective Model Integration Algorithm for Improving Link and Sign Prediction in Complex Networks—0
Initialization for Network Embedding: A Graph Partition Approach—0
dynnode2vec: Scalable Dynamic Network Embedding—0
A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning—0
Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning—0
Big Networks: A Survey—0
Dynamic Network Embedding Survey—0
Dynamic Network Embeddings for Network Evolution Analysis—0
Bib2vec: Embedding-based Search System for Bibliographic Information—0
A multi-domain VNE algorithm based on multi-objective optimization for IoD architecture in Industry 4.0—0
Dynamic Graph Embedding via LSTM History Tracking—0
Document Network Projection in Pretrained Word Embedding Space—0
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network—0
A Multi-Domain VNE Algorithm based on Load Balancing in the IoT networks—0
Adversarial Network Embedding—0
A Block-based Generative Model for Attributed Networks Embedding—0
Document Network Embedding: Coping for Missing Content and Missing Links—0
DISCO: Influence Maximization Meets Network Embedding and Deep Learning—0
DINE: A Framework for Deep Incomplete Network Embedding—0
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks—0
A multi-domain virtual network embedding algorithm with delay prediction—0
Diffusion Maps for Textual Network Embedding—0
Diffusion Based Network Embedding—0
Barlow Graph Auto-Encoder for Unsupervised Network Embedding—0
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models—0
Detecting local perturbations of networks in a latent hyperbolic embedding space—0
A Weakly Supervised Segmentation Network Embedding Cross-scale Attention Guidance and Noise-sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors—0
A Model-data-driven Network Embedding Multidimensional Features for Tomographic SAR Imaging—0
Demographic Inference on Twitter using Recursive Neural Networks—0
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks—0
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives—0
Selective Network Discovery via Deep Reinforcement Learning on Embedded Spaces—0
Network embedding unveils the hidden interactions in the mammalian virome—0
Deep Partial Multiplex Network Embedding—0
ALPINE: Active Link Prediction using Network Embedding—0
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