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 471–480 of 1192 papers

TitleStatusHype
Data-Efficient Graph Embedding Learning for PCB Component Detection—0
Graph Embeddings at Scale—0
Neural graph embeddings as explicit low-rank matrix factorization for link prediction—0
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning—0
Causal-aware Graph Neural Architecture Search under Distribution Shifts—0
Graph embedding using multi-layer adjacent point merging model—0
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure—0
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization—0
Efficient Relational Context Perception for Knowledge Graph Completion—0
Cascading: Association Augmented Sequential Recommendation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified