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 381–390 of 1192 papers

TitleStatusHype
Hub-aware Random Walk Graph Embedding Methods for Classification—0
Subsampling for Knowledge Graph Embedding Explained—0
Embedding-Based Entity Alignment Using Relation Structural SimilarityCode0
A Complex Network based Graph Embedding Method for Link Prediction—0
Geolocation of Cultural Heritage using Multi-View Knowledge Graph EmbeddingCode0
Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings—0
Repurposing Knowledge Graph Embeddings for Triple Representation via Weak SupervisionCode0
I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation LearningCode1
HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations—0
Memory and Capacity of Graph Embedding Methods—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified