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 241–250 of 1192 papers

TitleStatusHype
HUGE: Huge Unsupervised Graph Embeddings with TPUs—0
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
CausE: Towards Causal Knowledge Graph EmbeddingCode1
Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance LearningCode0
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generatorsCode0
IntelliGraphs: Datasets for Benchmarking Knowledge Graph GenerationCode1
Source-Aware Embedding Training on Heterogeneous Information Networks—0
Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product ManifoldCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified