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 431–440 of 1192 papers

TitleStatusHype
Embedding Knowledge Graph in Function Spaces—0
A First Experiment on Including Text Literals in KGloVe—0
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification—0
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning—0
Croppable Knowledge Graph Embedding—0
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning—0
A Survey on Signed Graph Embedding: Methods and Applications—0
GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features—0
Embedding Graphs under Centrality Constraints for Network Visualization—0
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified