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 491–500 of 1192 papers

TitleStatusHype
Improving embedding of graphs with missing data by soft manifolds—0
Graph Node Embeddings using Domain-Aware Biased Random Walks—0
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding—0
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis—0
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling—0
Causal-aware Graph Neural Architecture Search under Distribution Shifts—0
Efficient Relational Context Perception for Knowledge Graph Completion—0
Deep Patent Landscaping Model Using Transformer and Graph Embedding—0
Cascading: Association Augmented Sequential Recommendation—0
Improved Knowledge Graph Embedding using Background Taxonomic Information—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified