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 581–590 of 1192 papers

TitleStatusHype
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications—0
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation—0
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)—0
Curvature Regularization to Prevent Distortion in Graph Embedding—0
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations—0
Attention Regularized Laplace Graph for Domain Adaptation—0
Unsupervised Graph Embedding via Adaptive Graph Learning—0
Semantic and Expressive Variation in Image Captions Across Languages—0
Graph Classification Based on Skeleton and Component Features—0
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified