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 1011–1020 of 1192 papers

TitleStatusHype
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations—0
Representing Hierarchical Structure by Using Cone Embedding—0
DySuse: Susceptibility Estimation in Dynamic Social Networks—0
Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note—0
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions—0
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction—0
EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion—0
dynnode2vec: Scalable Dynamic Network Embedding—0
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering—0
Estimating Vector Fields on Manifolds and the Embedding of Directed Graphs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified