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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 351–400 of 403 papers

TitleStatusHype
Non-Euclidean Mixture Model for Social Network EmbeddingCode0
Is a Single Vector Enough? Exploring Node Polysemy for Network EmbeddingCode0
Shapes as Product Differentiation: Neural Network Embedding in the Analysis of Markets for FontsCode0
BiasedWalk: Biased Sampling for Representation Learning on GraphsCode0
JNET: Learning User Representations via Joint Network Embedding and Topic EmbeddingCode0
Domain-adversarial Network AlignmentCode0
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link PredictionCode0
BHGNN-RT: Network embedding for directed heterogeneous graphsCode0
L2G2G: a Scalable Local-to-Global Network Embedding with Graph AutoencodersCode0
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network EmbeddingCode0
Are Graph Embeddings the Panacea? An Empirical Survey from the Data Fitness PerspectiveCode0
Temporal Graph Network Embedding with Causal Anonymous Walks RepresentationsCode0
Unsupervised Network Embedding for Graph Visualization, Clustering and ClassificationCode0
Temporal Network Embedding with Micro- and Macro-dynamicsCode0
LEAP nets for power grid perturbationsCode0
Temporal Network Representation Learning via Historical Neighborhoods AggregationCode0
TextCNN with Attention for Text ClassificationCode0
Learning Deep Network Representations with Adversarially Regularized AutoencodersCode0
Simultaneous Weight and Architecture Optimization for Neural NetworksCode0
ProNE: Fast and Scalable Network Representation LearningCode0
PRUNE: Preserving Proximity and Global Ranking for Network EmbeddingCode0
A novel robust integrating method by high-order proximity for self-supervised attribute network embeddingCode0
Learning multi-resolution representations of research patterns in bibliographic networksCode0
Learning Role-based Graph EmbeddingsCode0
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and ClassificationCode0
Learning Vertex Representations for Bipartite NetworksCode0
Deep Network Embedding for Graph Representation Learning in Signed NetworksCode0
LNEMLC: Label Network Embeddings for Multi-Label ClassificationCode0
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via RankingCode0
DeBayes: a Bayesian Method for Debiasing Network EmbeddingsCode0
Data driven approximation of parametrized PDEs by Reduced Basis and Neural NetworksCode0
Attributed Network Embedding via Subspace DiscoveryCode0
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender SystemsCode0
Vertex-reinforced Random Walk for Network EmbeddingCode0
metapath2vec: Scalable Representation Learning for Heterogeneous NetworksCode0
Vaccine skepticism detection by network embeddingCode0
DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News DetectionCode0
CSNE: Conditional Signed Network EmbeddingCode0
mSHINE: A Multiple-meta-paths Simultaneous Learning Framework for Heterogeneous Information Network EmbeddingCode0
Spectral Network Embedding: A Fast and Scalable Method via SparsityCode0
Splitter: Learning Node Representations that Capture Multiple Social ContextsCode0
Relation order histograms as a network embedding toolCode0
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional NetworksCode0
Multi-Level Network Embedding with Boosted Low-Rank Matrix ApproximationCode0
TME-BNA: Temporal Motif-Preserving Network Embedding with Bicomponent Neighbor AggregationCode0
Adversarial network embedding with bootstrapped representations for sparse networksCode0
Cross-Network Social User Embedding with Hybrid Differential Privacy GuaranteesCode0
Contextual Regression: An Accurate and Conveniently Interpretable Nonlinear Model for Mining Discovery from Scientific DataCode0
Multi-Relation Aware Temporal Interaction Network EmbeddingCode0
Multi-scale Attributed Node EmbeddingCode0
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