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 391–400 of 1192 papers

TitleStatusHype
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images—0
Graph Embedding with Hierarchical Attentive Membership—0
FedSheafHN: Personalized Federated Learning on Graph-structured Data—0
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification—0
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths—0
Finding MNEMON: Reviving Memories of Node Embeddings—0
5* Knowledge Graph Embeddings with Projective Transformations—0
FoldExplorer: Fast and Accurate Protein Structure Search with Sequence-Enhanced Graph Embedding—0
Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph—0
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified