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 1011–1020 of 1192 papers

TitleStatusHype
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs—0
Compositional Fairness Constraints for Graph EmbeddingsCode0
Learning Cross-Domain Representation with Multi-Graph Neural Network—0
Knowledge Graph Embedding Bi-Vector Models for Symmetric Relation—0
GLEE: Geometric Laplacian Eigenmap EmbeddingCode0
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding—0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules—0
Scalable Graph Embeddings via Sparse Transpose Proximities—0
TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking—0
Language in Our Time: An Empirical Analysis of Hashtags—0
Show:102550
← PrevPage 102 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified