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 281–290 of 1192 papers

TitleStatusHype
Graph Embedding Augmented Skill Rating SystemCode0
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing—0
A Comprehensive Survey on Deep Graph Representation Learning—0
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding—0
Knowledge Graph Embedding with 3D Compound Geometric TransformationsCode0
Synergistic Graph Fusion via Encoder EmbeddingCode1
From axioms over graphs to vectors, and back again: evaluating the properties of graph-based ontology embeddingsCode0
Joint embedding in Hierarchical distance and semantic representation learning for link prediction—0
Distributed Graph Embedding with Information-Oriented Random WalksCode0
Farspredict: A benchmark dataset for link prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified