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 1011–1020 of 1192 papers

TitleStatusHype
From axioms over graphs to vectors, and back again: evaluating the properties of graph-based ontology embeddingsCode0
From Local to Global: Spectral-Inspired Graph Neural NetworksCode0
From Node Embedding To Community EmbeddingCode0
Fully Hyperbolic Rotation for Knowledge Graph EmbeddingCode0
GAN-TAT: A Novel Framework Using Protein Interaction Networks in Druggable Gene IdentificationCode0
Gaussian Embedding of Large-scale Attributed GraphsCode0
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph PruningCode0
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement LearningCode0
Geolocation of Cultural Heritage using Multi-View Knowledge Graph EmbeddingCode0
GLEE: Geometric Laplacian Eigenmap EmbeddingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified