SOTAVerified

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 531–540 of 1192 papers

TitleStatusHype
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster StructureCode0
Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding—0
CS-MLGCN : Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks—0
Attention Regularized Laplace Graph for Domain Adaptation—0
Shadfa 0.1: The Iranian Movie Knowledge Graph and Graph-Embedding-Based Recommender System—0
Using Graph Algorithms to Pretrain Graph Completion Transformers—0
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information NetworksCode0
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning—0
Behavioral graph fraud detection in E-commerce—0
Entity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph EmbeddingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified