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 901–910 of 1192 papers

TitleStatusHype
A unified framework based on graph consensus term for multi-view learning—0
PyramNet: Point Cloud Pyramid Attention Network and Graph Embedding Module for Classification and Segmentation—0
Drug-Drug Interaction Prediction with Wasserstein Adversarial Autoencoder-based Knowledge Graph Embeddings—0
Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed—0
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding—0
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation—0
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding—0
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation—0
Triple2Vec: Learning Triple Embeddings from Knowledge Graphs—0
Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified