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 521–530 of 1192 papers

TitleStatusHype
A robust feature reinforcement framework for heterogeneous graphs neural networksCode0
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk PredictionCode0
DeepE: a deep neural network for knowledge graph embeddingCode0
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language—0
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces—0
Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note—0
Embedding Knowledge Graph of Patent Metadata to Measure Knowledge Proximity—0
Learning Heuristics for the Maximum Clique Enumeration Problem Using Low Dimensional Representations—0
Leveraging Wikidata's edit history in knowledge graph refinement tasksCode0
3D Shape Knowledge Graph for Cross-domain 3D Shape Retrieval—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified