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 1151–1160 of 1192 papers

TitleStatusHype
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability—0
DFraud3- Multi-Component Fraud Detection freeof Cold-start—0
Graphfool: Targeted Label Adversarial Attack on Graph Embedding—0
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations—0
SoTCKGE:Continual Knowledge Graph Embedding Based on Spatial Offset Transformation—0
Source-Aware Embedding Training on Heterogeneous Information Networks—0
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading—0
Graph Neural Networks For Multi-Image Matching—0
Graph Node Embeddings using Domain-Aware Biased Random Walks—0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified