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 171–180 of 1192 papers

TitleStatusHype
Inductive Representation Learning on Temporal GraphsCode1
Inference Attacks Against Graph Neural NetworksCode1
IntelliGraphs: Datasets for Benchmarking Knowledge Graph GenerationCode1
Interpreting single-cell and spatial omics data using deep neural network training dynamicsCode1
Contrastive Deep Nonnegative Matrix Factorization for Community DetectionCode1
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph EmbeddingsCode1
k-Graph: A Graph Embedding for Interpretable Time Series ClusteringCode1
Knowledge Graph Embedding by Normalizing FlowsCode1
A Representation Learning Framework for Property GraphsCode1
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic SpaceCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified