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 851–860 of 1192 papers

TitleStatusHype
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art—0
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification—0
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting—0
NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture SearchCode0
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?—0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches—0
Region Graph Embedding Network for Zero-Shot Learning—0
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach—0
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph DescriptionCode0
Show:102550
← PrevPage 86 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified