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 341–350 of 1192 papers

TitleStatusHype
Adaptive Fuzzy C-Means with Graph Embedding—0
Simplicity within biological complexity—0
Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task—0
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation—0
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network—0
Untargeted Adversarial Attack on Knowledge Graph Embeddings—0
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph EmbeddingCode0
Robustness of graph embedding methods for community detectionCode0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified