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 611–620 of 1192 papers

TitleStatusHype
NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation—0
An experimental study of graph-based semi-supervised classification with additional node information—0
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network—0
NoiGAN: NOISE AWARE KNOWLEDGE GRAPH EMBEDDING WITH GAN—0
Non-Progressive Influence Maximization in Dynamic Social Networks—0
Semantic and Expressive Variation in Image Captions Across Languages—0
Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding—0
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations—0
On2Vec: Embedding-based Relation Prediction for Ontology Population—0
One-Class Kernel Spectral Regression—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified