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 631–640 of 1192 papers

TitleStatusHype
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes—0
Understanding the Performance of Knowledge Graph Embeddings in Drug DiscoveryCode1
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph EmbeddingCode1
Differentially Private Federated Knowledge Graphs EmbeddingCode1
Consistent Multiple Graph Embedding for Multi-View Clustering—0
Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs—0
Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain ConnectivityCode1
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified