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 211–220 of 1192 papers

TitleStatusHype
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings AugmentationCode0
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding—0
Contextualized Structural Self-supervised Learning for Ontology MatchingCode0
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading—0
Knowledge Graph Embedding: An Overview—0
Model-based Subsampling for Knowledge Graph CompletionCode0
Topological Node2vec: Enhanced Graph Embedding via Persistent HomologyCode1
Force-directed graph embedding with hops distanceCode0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding—0
Extending Transductive Knowledge Graph Embedding Models for Inductive Logical Relational InferenceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified