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 321–330 of 1192 papers

TitleStatusHype
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic—0
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity—0
Graph Embedding Based Hybrid Social Recommendation System—0
Community Detection in General Hypergraph via Graph Embedding—0
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification—0
A Group-Theoretic Framework for Knowledge Graph Embedding—0
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?—0
A Semantic Filter Based on Relations for Knowledge Graph Completion—0
GARNET: A Spectral Approach to Robust and Scalable Graph Neural Networks—0
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language—0
Show:102550
← PrevPage 33 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified