SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 871–880 of 1192 papers

TitleStatusHype
DFraud3- Multi-Component Fraud Detection freeof Cold-start—0
5* Knowledge Graph Embeddings with Projective Transformations—0
FREDE: Anytime Graph Embeddings—0
Little Ball of Fur: A Python Library for Graph Sampling—0
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
Asymmetric Transitivity Preserving Graph Embedding—0
Show:102550
← PrevPage 88 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified