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 131–140 of 1192 papers

TitleStatusHype
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network—0
Untargeted Adversarial Attack on Knowledge Graph Embeddings—0
Towards Continual Knowledge Graph Embedding via Incremental DistillationCode1
Robustness of graph embedding methods for community detectionCode0
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph EmbeddingCode0
Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings—0
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set RetrievalCode0
Are Graph Embeddings the Panacea? An Empirical Survey from the Data Fitness PerspectiveCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex SpaceCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified