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 991–1000 of 1192 papers

TitleStatusHype
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
Embedding-Based Entity Alignment Using Relation Structural SimilarityCode0
Embedding Graphs on Grassmann ManifoldCode0
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings AugmentationCode0
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation LearningCode0
Entity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph EmbeddingCode0
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph EmbeddingCode0
ExEm: Expert Embedding using dominating set theory with deep learning approachesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified