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 271–280 of 1192 papers

TitleStatusHype
Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree DistributionCode0
All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional NetworksCode0
Graph Embedding Techniques, Applications, and Performance: A SurveyCode0
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph EmbeddingCode0
Convolutional Hypercomplex Embeddings for Link PredictionCode0
Graph Embedding based Wireless Link Scheduling with Few Training SamplesCode0
Graph Embedding Augmented Skill Rating SystemCode0
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural NetworksCode0
Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance LearningCode0
Contextualized Structural Self-supervised Learning for Ontology MatchingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified