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 921–930 of 1192 papers

TitleStatusHype
A Simple Baseline Algorithm for Graph ClassificationCode0
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding QualityCode0
A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of ThingsCode0
ATP: Directed Graph Embedding with Asymmetric Transitivity PreservationCode0
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention MechanismCode0
Attributed Graph Clustering: A Deep Attentional Embedding ApproachCode0
Augmenting Knowledge Graphs for Better Link PredictionCode0
Automatic selection of clustering algorithms using supervised graph embeddingCode0
Balancing between the Local and Global Structures (LGS) in Graph EmbeddingCode0
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic DecompositionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified