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 1161–1170 of 1192 papers

TitleStatusHype
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set RetrievalCode0
Splitter: Learning Node Representations that Capture Multiple Social ContextsCode0
Stay Positive: Knowledge Graph Embedding Without Negative SamplingCode0
struc2vec: Learning Node Representations from Structural IdentityCode0
Structure-Preference Enabled Graph Embedding Generation under Differential PrivacyCode0
Temporal Link Prediction Using Graph Embedding DynamicsCode0
Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network ClassifierCode0
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding ModelsCode0
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness RegularizerCode0
The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion ModelsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified