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Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

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Showing 501–525 of 1192 papers

TitleStatusHype
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder IdentificationCode0
DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningCode0
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
Unsupervised Deep Manifold Attributed Graph EmbeddingCode0
Graph U-NetsCode0
GraphVAE: Towards Generation of Small Graphs Using Variational AutoencodersCode0
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational InferenceCode0
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation LearningCode0
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation RepresentationCode0
Hyperparameter-free and Explainable Whole Graph EmbeddingCode0
Detect All Abuse! Toward Universal Abusive Language Detection ModelsCode0
HopfE: Knowledge Graph Representation Learning using Inverse Hopf FibrationsCode0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
Automatic selection of clustering algorithms using supervised graph embeddingCode0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
Hierarchical Aggregations for High-Dimensional Multiplex Graph EmbeddingCode0
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
Hierarchical stochastic graphlet embedding for graph-based pattern recognitionCode0
HyTE: Hyperplane-based Temporally aware Knowledge Graph EmbeddingCode0
Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product ManifoldCode0
Item-Graph2vec: a Efficient and Effective Approach using Item Co-occurrence Graph Embedding for Collaborative FilteringCode0
Learning graph representations of biochemical networks and its application to enzymatic link predictionCode0
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk PredictionCode0
Node-based Knowledge Graph Contrastive Learning for Medical Relationship PredictionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified