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 761–770 of 1192 papers

TitleStatusHype
Community Detection in General Hypergraph via Graph Embedding—0
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings—0
Expanding Semantic Knowledge for Zero-shot Graph Embedding—0
ChronoR: Rotation Based Temporal Knowledge Graph Embedding—0
Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning—0
Scalable Hypergraph Embedding System—0
Grassmann Graph Embedding—0
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness RegularizerCode0
FeatureNorm: L2 Feature Normalization for Dynamic Graph EmbeddingCode0
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph EmbeddingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified