SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

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Showing 1041–1050 of 1192 papers

TitleStatusHype
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference—0
Robust Graph Embedding with Noisy Link Weights—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified