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 571–580 of 1192 papers

TitleStatusHype
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence ViewCode1
Learning through structure: towards deep neuromorphic knowledge graph embeddingsCode1
Recommender systems based on graph embedding techniques: A comprehensive reviewCode0
Temporal Knowledge Graph Completion using Box EmbeddingsCode1
Network representation learning systematic review: ancestors and current development state—0
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization—0
Learning grounded word meaning representations on similarity graphsCode0
Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network ModelCode1
roadscene2vec: A Tool for Extracting and Embedding Road Scene-GraphsCode1
Heterogeneous Graph Neural Network with Multi-view Representation Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified