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 781–790 of 1192 papers

TitleStatusHype
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks—0
Deep Hypergraph U-Net for Brain Graph Embedding and ClassificationCode1
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art—0
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification—0
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting—0
NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture SearchCode0
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?—0
Quaternion Graph Neural NetworksCode1
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
Adversarial Directed Graph EmbeddingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified