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 321–330 of 1192 papers

TitleStatusHype
Spectral Graph Reasoning Network for Hyperspectral Image Classification—0
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories—0
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search—0
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification—0
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing ApproachCode0
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph—0
Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding—0
DUPLEX: Dual GAT for Complex Embedding of Directed GraphsCode0
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python—0
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified