SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Showing 211220 of 1192 papers

TitleStatusHype
GraphSAINT: Graph Sampling Based Inductive Learning MethodCode1
Collaborative Translational Metric LearningCode1
An Unsupervised Framework for Comparing Graph EmbeddingsCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction PerspectiveCode1
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex SpaceCode1
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph EmbeddingCode1
Hyperbolic Entailment Cones for Learning Hierarchical EmbeddingsCode1
Fast Sequence Based Embedding with Diffusion GraphsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified