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 761–770 of 1192 papers

TitleStatusHype
Pairwise Supervision Can Provably Elicit a Decision Boundary—0
Simplicity within biological complexity—0
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective—0
DFraud3- Multi-Component Fraud Detection freeof Cold-start—0
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs—0
Social Media Medical Concept Normalization using RoBERTa in Ontology Enriched Text Similarity Framework—0
Soft Retargeting Network for Click Through Rate Prediction—0
SoTCKGE:Continual Knowledge Graph Embedding Based on Spatial Offset Transformation—0
Source-Aware Embedding Training on Heterogeneous Information Networks—0
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified