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 871–880 of 1192 papers

TitleStatusHype
Relation Embedding for Personalised POI Recommendation—0
GLSearch: Maximum Common Subgraph Detection via Learning to Search—0
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph EmbeddingCode1
Knowledge Graph Embedding for Link Prediction: A Comparative AnalysisCode1
A Survey on Knowledge Graphs: Representation, Acquisition and ApplicationsCode2
Fast Generating A Large Number of Gumbel-Max Variables—0
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network EmbeddingCode1
Which way? Direction-Aware Attributed Graph EmbeddingCode0
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and TransferabilityCode2
GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified