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 921–930 of 1192 papers

TitleStatusHype
A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations—0
Recent Advances in Malware Detection: Graph Learning and Explainability—0
RECipe: Does a Multi-Modal Recipe Knowledge Graph Fit a Multi-Purpose Recommendation System?—0
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods—0
RECS: Robust Graph Embedding Using Connection Subgraphs—0
Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining—0
Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion—0
Twitter Geolocation using Knowledge-Based Methods—0
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives—0
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified