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 741–750 of 1192 papers

TitleStatusHype
Manifold Graph Signal Restoration using Gradient Graph Laplacian Regularizer—0
Manifold learning via quantum dynamics—0
A Deep Graph Embedding Network Model for Face Recognition—0
MDistMult: A Multiple Scoring Functions Model for Link Prediction on Antiviral Drugs Knowledge Graph—0
MedGraph: An experimental semantic information retrieval method using knowledge graph embedding for the biomedical citations indexed in PubMed—0
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?—0
Membership Inference Attacks on Knowledge Graphs—0
Memory and Capacity of Graph Embedding Methods—0
Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs—0
Mercem: Method Name Recommendation Based on Call Graph Embedding—0
Show:102550
← PrevPage 75 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified