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 1021–1030 of 1192 papers

TitleStatusHype
Semi-Supervised Graph Classification: A Hierarchical Graph PerspectiveCode0
FILDNE: A Framework for Incremental Learning of Dynamic Networks EmbeddingsCode0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion—0
DAGCN: Dual Attention Graph Convolutional NetworksCode0
Learning Combinatorial Embedding Networks for Deep Graph Matching—0
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph ProximityCode0
PyTorch-BigGraph: A Large-scale Graph Embedding SystemCode0
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction PerspectiveCode1
Unsupervised Multi-modal Hashing for Cross-modal retrieval—0
Domain Representation for Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified