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 831–840 of 1192 papers

TitleStatusHype
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion—0
Detect All Abuse! Toward Universal Abusive Language Detection ModelsCode0
Friendship is All we Need: A Multi-graph Embedding Approach for Modeling Customer Behavior—0
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows—0
Overcoming Data Sparsity in Group Recommendation—0
RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion—0
Spectral Embedding of Graph Networks—0
Weight Prediction for Variants of Weighted Directed Networks—0
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational AssumptionsCode0
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified