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 221–230 of 1192 papers

TitleStatusHype
SHGNN: Structure-Aware Heterogeneous Graph Neural NetworkCode1
Inference Attacks Against Graph Neural NetworksCode1
Node Embedding from Neural Hamiltonian Orbits in Graph Neural NetworksCode1
Efficient Hyper-parameter Search for Knowledge Graph EmbeddingCode1
Stockformer: A Price-Volume Factor Stock Selection Model Based on Wavelet Transform and Multi-Task Self-Attention NetworksCode1
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding—0
Authorship Recognition with Short-Text using Graph-based Techniques—0
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
Deep Patent Landscaping Model Using Transformer and Graph Embedding—0
Unified Framework for Feature Extraction based on Contrastive Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified