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 221–230 of 1192 papers

TitleStatusHype
Adversarially Regularized Graph Autoencoder for Graph EmbeddingCode1
Graph Attention NetworksCode1
graph2vec: Learning Distributed Representations of GraphsCode1
Poincaré Embeddings for Learning Hierarchical RepresentationsCode1
LINE: Large-scale Information Network EmbeddingCode1
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs—0
Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding—0
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph EmbeddingCode0
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature AggregationCode0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified