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 691–700 of 1192 papers

TitleStatusHype
Network representation learning systematic review: ancestors and current development state—0
Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization—0
Learning grounded word meaning representations on similarity graphsCode0
Heterogeneous Graph Neural Network with Multi-view Representation Learning—0
Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding—0
An FEA surrogate model with Boundary Oriented Graph Embedding approachCode0
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy—0
Data-driven Smart Ponzi Scheme Detection—0
Twitter User Representation Using Weakly Supervised Graph EmbeddingCode0
Blockchain Phishing Scam Detection via Multi-channel Graph Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified