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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 301–350 of 403 papers

TitleStatusHype
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money LaunderingCode0
Dynamic Embedding on Textual Networks via a Gaussian ProcessCode0
GENE: Global Event Network EmbeddingCode0
Structural Deep Network EmbeddingCode0
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data ManifoldsCode0
A Non-negative Symmetric Encoder-Decoder Approach for Community DetectionCode0
Global Vectors for Node RepresentationsCode0
Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node DescriptorsCode0
GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network EmbeddingCode0
Gradient-Based Spectral Embeddings of Random Dot Product GraphsCode0
Attributed Network Embedding for Incomplete Attributed NetworksCode0
NetSMF: Large-Scale Network Embedding as Sparse Matrix FactorizationCode0
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic NetworksCode0
Graph Representation Learning via Hard and Channel-Wise Attention NetworksCode0
GraphVite: A High-Performance CPU-GPU Hybrid System for Node EmbeddingCode0
H^2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic SpacesCode0
HAHE: Hierarchical Attentive Heterogeneous Information Network EmbeddingCode0
RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network EmbeddingCode0
RWNE: A Scalable Random-Walk-Based Network Embedding Framework with Personalized Higher-Order Proximity PreservedCode0
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted NetworksCode0
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vecCode0
Network Embedding Exploration Tool (NEExT)Code0
Efficient Network Embedding by Approximate Equitable PartitionsCode0
Network Embedding: on Compression and LearningCode0
Adversarial Attack on Network Embeddings via Supervised Network PoisoningCode0
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask DependenciesCode0
SCE: Scalable Network Embedding from Sparsest CutCode0
A Simple and Powerful Framework for Stable Dynamic Network EmbeddingCode0
Edgeless-GNN: Unsupervised Representation Learning for Edgeless NodesCode0
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky SocialCode0
Search Efficient Binary Network EmbeddingCode0
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?Code0
Trustworthiness-Driven Graph Convolutional Networks for Signed Network EmbeddingCode0
Network Representation Learning with Rich Text InformationCode0
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to MillisecondsCode0
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information NetworksCode0
Binarized Attributed Network EmbeddingCode0
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network EmbeddingCode0
Neural Embedding Propagation on Heterogeneous NetworksCode0
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author IdentificationCode0
Improving Textual Network Learning with Variational Homophilic EmbeddingsCode0
New Datasets and a Benchmark of Document Network Embedding Methods for Scientific Expert FindingCode0
Task-Guided Pair Embedding in Heterogeneous NetworkCode0
Dynamic Network Embedding via Incremental Skip-gram with Negative SamplingCode0
TempNodeEmb:Temporal Node Embedding considering temporal edge influence matrixCode0
Billion-scale Network Embedding with Iterative Random ProjectionCode0
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph DescriptionCode0
IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for RecommendationCode0
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph EmbeddingCode0
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster StructureCode0
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