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 531–540 of 1192 papers

TitleStatusHype
Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction—0
Dynamic Joint Variational Graph Autoencoders—0
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs—0
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process—0
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods—0
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities—0
Invariant embedding for graph classification—0
Iterative Deep Graph Learning for Graph Neural Networks—0
Dynamic Graph Embedding via LSTM History Tracking—0
Injecting Knowledge Graphs into Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified