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 681–690 of 1192 papers

TitleStatusHype
Evaluating Node Embeddings of Complex NetworksCode1
Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention—0
SPADE: A Spectral Method for Black-Box Adversarial Robustness EvaluationCode0
Refining a -nearest neighbor graph for a computationally efficient spectral clusteringCode0
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement LearningCode1
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery—0
Learning Graph Embeddings for Compositional Zero-shot LearningCode1
Cleora: A Simple, Strong and Scalable Graph Embedding SchemeCode1
Graph Classification Based on Skeleton and Component Features—0
Learning multi-resolution representations of research patterns in bibliographic networksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified