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 1131–1140 of 1192 papers

TitleStatusHype
Unsupervised Multi-modal Hashing for Cross-modal retrieval—0
Graph Embedding Based Hybrid Social Recommendation System—0
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs—0
Graph Embedding Dynamic Feature-based Supervised Contrastive Learning of Transient Stability for Changing Power Grid Topologies—0
DGEM: A New Dual-modal Graph Embedding Method in Recommendation System—0
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art—0
Graph Embedding for Recommendation against Attribute Inference Attacks—0
Social Media Medical Concept Normalization using RoBERTa in Ontology Enriched Text Similarity Framework—0
Graph Embeddings at Scale—0
Neural graph embeddings as explicit low-rank matrix factorization for link prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified