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 401–410 of 1192 papers

TitleStatusHype
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddingsCode0
SCARA: Scalable Graph Neural Networks with Feature-Oriented OptimizationCode1
Graph Neural Networks for Distributed Power Allocation in Wireless Networks: Aggregation Over-the-AirCode1
Hardware-agnostic Computation for Large-scale Knowledge Graph EmbeddingsCode1
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity TypingCode1
Pattern Analysis of Money Flow in the Bitcoin Blockchain—0
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRankCode0
The DLCC Node Classification Benchmark for Analyzing Knowledge Graph EmbeddingsCode1
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations—0
Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph EmbeddingsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified