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 541–550 of 1192 papers

TitleStatusHype
Dynamic Graph Embedding via LSTM History Tracking—0
Invariant embedding for graph classification—0
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network—0
Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction—0
Investigating Extensions to Random Walk Based Graph Embedding—0
Blockchain Phishing Scam Detection via Multi-channel Graph Classification—0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities—0
Domain Representation for Knowledge Graph Embedding—0
A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified