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 51–75 of 403 papers

Title	Date	Tasks	Status	Hype	Score
Unsupervised Differentiable Multi-aspect Network Embedding	Jun 7, 2020	ClusteringGraph Clustering	CodeCode Available	1	5
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social	Jul 24, 2024	BlockingGraph Neural Network	CodeCode Available	0	5
Billion-scale Network Embedding with Iterative Random Projection	May 7, 2018	Distributed ComputingLink Prediction	CodeCode Available	0	5
Adversarial network embedding with bootstrapped representations for sparse networks	Mar 3, 2025	Data VisualizationLink Prediction	CodeCode Available	0	5
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding	Jan 31, 2019	Network Embedding	CodeCode Available	0	5
H^2TNE: Temporal Heterogeneous Information Network Embedding in Hyperbolic Spaces	Apr 14, 2023	Link PredictionNetwork Embedding	CodeCode Available	0	5
BiasedWalk: Biased Sampling for Representation Learning on Graphs	Sep 7, 2018	Community DetectionGeneral Classification	CodeCode Available	0	5
Graph Representation Learning via Hard and Channel-Wise Attention Networks	Jul 5, 2019	Graph AttentionGraph Classification	CodeCode Available	0	5
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding	Mar 2, 2019	CPUDimensionality Reduction	CodeCode Available	0	5
Binarized Attributed Network Embedding	Oct 22, 2018	Graph EmbeddingLink Prediction	CodeCode Available	0	5
Hierarchical Reinforcement Learning for Zero-shot Generalization with Subtask Dependencies	Jul 19, 2018	Hierarchical Reinforcement LearningNetwork Embedding	CodeCode Available	0	5
Boosting House Price Predictions using Geo-Spatial Network Embedding	Sep 1, 2020	Network EmbeddingPrediction	CodeCode Available	0	5
BHGNN-RT: Network embedding for directed heterogeneous graphs	Nov 24, 2023	Graph Neural NetworkNetwork Embedding	CodeCode Available	0	5
Global Vectors for Node Representations	Feb 28, 2019	Network Embedding	CodeCode Available	0	5
GENE: Global Event Network Embedding	Jun 1, 2021	coreference-resolutionCoreference Resolution	CodeCode Available	0	5
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds	Oct 16, 2024	Metric LearningNetwork Embedding	CodeCode Available	0	5
GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding	Mar 7, 2018	ClusteringGeneral Classification	CodeCode Available	0	5
Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks	Apr 15, 2018	ClusteringMulti-class Classification	CodeCode Available	0	5
Attributed Network Embedding via Subspace Discovery	Jan 14, 2019	AttributeClustering	CodeCode Available	0	5
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering	Jun 4, 2025	Computational EfficiencyFraud Detection	CodeCode Available	0	5
Flexible Attributed Network Embedding	Nov 27, 2018	General ClassificationNetwork Embedding	CodeCode Available	0	5
Font Size: Community Preserving Network Embedding	Feb 10, 2017	Community DetectionNetwork Embedding	CodeCode Available	0	5
Dynamic Embedding on Textual Networks via a Gaussian Process	Oct 5, 2019	Link PredictionNetwork Embedding	CodeCode Available	0	5
Gradient-Based Spectral Embeddings of Random Dot Product Graphs	Jul 25, 2023	Graph Representation LearningNetwork Embedding	CodeCode Available	0	5
Improving Textual Network Learning with Variational Homophilic Embeddings	Sep 30, 2019	Network Embedding	CodeCode Available	0	5

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