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 1021–1030 of 1192 papers

TitleStatusHype
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question AnsweringCode0
GPINN: Physics-informed Neural Network with Graph EmbeddingCode0
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generatorsCode0
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe-drug associationsCode0
Graph Construction using Principal Axis Trees for Simple Graph ConvolutionCode0
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
Graph-Embedded Subspace Support Vector Data DescriptionCode0
Graph Embedding Augmented Skill Rating SystemCode0
Graph Embedding based Wireless Link Scheduling with Few Training SamplesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified