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 931–940 of 1192 papers

TitleStatusHype
Symbolic Graph Embedding using Frequent Pattern MiningCode0
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation—0
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure—0
Cascading: Association Augmented Sequential Recommendation—0
Efficiently Embedding Dynamic Knowledge Graphs—0
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs—0
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding—0
Learning event representations for temporal segmentation of image sequences by dynamic graph embedding—0
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding—0
GraphZoom: A multi-level spectral approach for accurate and scalable graph embeddingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified