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 1001–1010 of 1192 papers

TitleStatusHype
Embedding Graphs under Centrality Constraints for Network Visualization—0
Embedding Knowledge Graph in Function Spaces—0
Embedding Knowledge Graph of Patent Metadata to Measure Knowledge Proximity—0
SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches—0
Embedding Method for Knowledge Graph with Densely Defined Ontology—0
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance—0
Empirical effect of graph embeddings on fraud detection/ risk mitigation—0
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories—0
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks—0
Scientific Dataset Discovery via Topic-level Recommendation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified