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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 101–150 of 403 papers

TitleStatusHype
A Simple and Powerful Framework for Stable Dynamic Network EmbeddingCode0
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?Code0
Cross-Network Social User Embedding with Hybrid Differential Privacy GuaranteesCode0
Learning Vertex Representations for Bipartite NetworksCode0
LNEMLC: Label Network Embeddings for Multi-Label ClassificationCode0
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph EmbeddingCode0
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network EmbeddingCode0
ProNE: Fast and Scalable Network Representation LearningCode0
Contextual Regression: An Accurate and Conveniently Interpretable Nonlinear Model for Mining Discovery from Scientific DataCode0
Learning Deep Network Representations with Adversarially Regularized AutoencodersCode0
L2G2G: a Scalable Local-to-Global Network Embedding with Graph AutoencodersCode0
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to MillisecondsCode0
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster StructureCode0
BiasedWalk: Biased Sampling for Representation Learning on GraphsCode0
LEAP nets for power grid perturbationsCode0
Learning multi-resolution representations of research patterns in bibliographic networksCode0
Is a Single Vector Enough? Exploring Node Polysemy for Network EmbeddingCode0
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link PredictionCode0
Are Graph Embeddings the Panacea? An Empirical Survey from the Data Fitness PerspectiveCode0
JNET: Learning User Representations via Joint Network Embedding and Topic EmbeddingCode0
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information NetworksCode0
Edgeless-GNN: Unsupervised Representation Learning for Edgeless NodesCode0
Collaborative Graph Neural Networks for Attributed Network EmbeddingCode0
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky SocialCode0
Boosting House Price Predictions using Geo-Spatial Network EmbeddingCode0
Efficient Network Embedding by Approximate Equitable PartitionsCode0
Learning Role-based Graph EmbeddingsCode0
Improving Textual Network Learning with Variational Homophilic EmbeddingsCode0
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask DependenciesCode0
A novel robust integrating method by high-order proximity for self-supervised attribute network embeddingCode0
HAHE: Hierarchical Attentive Heterogeneous Information Network EmbeddingCode0
Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization PerspectiveCode0
Graph Representation Learning via Hard and Channel-Wise Attention NetworksCode0
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph DescriptionCode0
Enhanced Network Embedding with Text InformationCode0
Global Vectors for Node RepresentationsCode0
GraphVite: A High-Performance CPU-GPU Hybrid System for Node EmbeddingCode0
H^2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic SpacesCode0
GENE: Global Event Network EmbeddingCode0
A Non-negative Symmetric Encoder-Decoder Approach for Community DetectionCode0
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data ManifoldsCode0
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial RegularizationCode0
GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network EmbeddingCode0
Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information NetworksCode0
CANE: Context-Aware Network Embedding for Relation ModelingCode0
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node DescriptorsCode0
Font Size: Community Preserving Network EmbeddingCode0
Flexible Attributed Network EmbeddingCode0
Dynamic Embedding on Textual Networks via a Gaussian ProcessCode0
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