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 1051–1060 of 1192 papers

TitleStatusHype
Variational Quantum Circuit Model for Knowledge Graphs Embedding—0
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation—0
Examining Adversarial Learning against Graph-based IoT Malware Detection Systems—0
Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor FactorizationCode0
A Relational Tucker Decomposition for Multi-Relational Link Prediction—0
Neural IR Meets Graph Embedding: A Ranking Model for Product Search—0
Multi-Task Feature Learning for Knowledge Graph Enhanced RecommendationCode0
All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional NetworksCode0
Learning Graph Embedding with Adversarial Training Methods—0
Fairwalk: Towards fair graph embeddingCode0
Show:102550
← PrevPage 106 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified