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 161–170 of 1192 papers

TitleStatusHype
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models—0
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding RepresentationsCode0
Spoofing Detection in the Physical Layer with Graph Neural Networks—0
Temporal Link Prediction Using Graph Embedding DynamicsCode0
Graph Dual-stream Convolutional Attention Fusion for Precipitation NowcastingCode1
Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs—0
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding—0
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph EmbeddingCode0
Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological ImagesCode1
Hierarchical Aggregations for High-Dimensional Multiplex Graph EmbeddingCode0
Show:102550
← PrevPage 17 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified