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 771–780 of 1192 papers

TitleStatusHype
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings—0
Adaptive Fuzzy C-Means with Graph Embedding—0
MoReL: Multi-omics Relational Learning—0
Co-embedding of Nodes and Edges with Graph Neural Networks—0
A Comprehensive Survey on Deep Graph Representation Learning—0
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models—0
MRA-GNN: Minutiae Relation-Aware Model over Graph Neural Network for Fingerprint Embedding—0
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning—0
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis—0
MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified