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
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes—0
Consistent Multiple Graph Embedding for Multi-View Clustering—0
Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs—0
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering—0
An Adversarial Transfer Network for Knowledge Representation LearningCode0
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph—0
Graph-Embedded Subspace Support Vector Data DescriptionCode0
Unsupervised Deep Manifold Attributed Graph EmbeddingCode0
Show:102550
← PrevPage 75 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified