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 1031–1040 of 1192 papers

TitleStatusHype
Splitter: Learning Node Representations that Capture Multiple Social ContextsCode0
Deep Patent Landscaping Model Using Transformer and Graph Embedding—0
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs—0
Logic Rules Powered Knowledge Graph Embedding—0
Empirical effect of graph embeddings on fraud detection/ risk mitigation—0
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few LabelsCode0
Representation Learning with Weighted Inner Product for Universal Approximation of General SimilaritiesCode0
Deep Adversarial Network Alignment—0
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex SpaceCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified