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 351–360 of 1192 papers

TitleStatusHype
Learning Heuristics for the Maximum Clique Enumeration Problem Using Low Dimensional Representations—0
3D Shape Knowledge Graph for Cross-domain 3D Shape Retrieval—0
Leveraging Wikidata's edit history in knowledge graph refinement tasksCode0
RulE: Knowledge Graph Reasoning with Rule EmbeddingCode1
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster StructureCode0
Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding—0
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph CompletionCode1
CS-MLGCN : Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks—0
Attention Regularized Laplace Graph for Domain Adaptation—0
Parameter-free Dynamic Graph Embedding for Link PredictionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified