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 821–830 of 1192 papers

TitleStatusHype
FREDE: Anytime Graph Embeddings—0
Little Ball of Fur: A Python Library for Graph Sampling—0
DeepGG: a Deep Graph GeneratorCode1
Persona2vec: A Flexible Multi-role Representations Learning Framework for GraphsCode1
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding—0
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data—0
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach—0
NagE: Non-Abelian Group Embedding for Knowledge Graphs—0
Learning Representations using Spectral-Biased Random Walks on GraphsCode0
Deep Learning for Community Detection: Progress, Challenges and OpportunitiesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified