SOTAVerified

Graph Embedding

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

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Papers

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Showing 661–670 of 1192 papers

TitleStatusHype
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction—0
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference—0
EventKE: Event-Enhanced Knowledge Graph Embedding—0
Learning Numeracy: A Simple Yet Effective Number Embedding Approach Using Knowledge GraphCode0
Hyperbolic Hierarchy-Aware Knowledge Graph Embedding for Link Prediction—0
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding—0
A Semantic Filter Based on Relations for Knowledge Graph Completion—0
Improving Knowledge Graph Embedding Using Affine Transformations of Entities Corresponding to Each Relation—0
Graph Embedding with Hierarchical Attentive Membership—0
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified