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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 26–50 of 403 papers

TitleStatusHype
Network Embedding with Completely-imbalanced LabelsCode1
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network EmbeddingCode1
Unsupervised Differentiable Multi-aspect Network EmbeddingCode1
Network Together: Node Classification via Cross-Network Deep Network EmbeddingCode1
Multi-View Collaborative Network EmbeddingCode1
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic GraphsCode1
Fast Network Embedding Enhancement via High Order Proximity ApproximationCode1
Machine Learning on Graphs: A Model and Comprehensive TaxonomyCode1
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNNCode1
Heterogeneous Network Representation Learning: A Unified Framework with Survey and BenchmarkCode1
Adaptive Graph Auto-Encoder for General Data ClusteringCode1
Adversarial Deep Network Embedding for Cross-network Node ClassificationCode1
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network EmbeddingCode1
Fast Sequence-Based Embedding with Diffusion GraphsCode1
Inductive Document Network Embedding with Topic-Word AttentionCode1
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding.Code1
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub RepositoriesCode1
Fast and Accurate Network Embeddings via Very Sparse Random ProjectionCode1
Adversarial Training Methods for Network EmbeddingCode1
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network EmbeddingCode1
Signed Graph Attention NetworksCode1
DANE: Domain Adaptive Network EmbeddingCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
Outlier Aware Network Embedding for Attributed NetworksCode1
Fast Sequence Based Embedding with Diffusion GraphsCode1
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