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 326–350 of 1192 papers

TitleStatusHype
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph—0
Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding—0
DUPLEX: Dual GAT for Complex Embedding of Directed GraphsCode0
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python—0
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning—0
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation—0
Fast and Scalable Multi-Kernel Encoder Classifier—0
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma—0
LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph PredictionsCode0
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding—0
Valid Conformal Prediction for Dynamic GNNsCode0
A Canonicalization Perspective on Invariant and Equivariant LearningCode0
Causal-aware Graph Neural Architecture Search under Distribution Shifts—0
FedSheafHN: Personalized Federated Learning on Graph-structured Data—0
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network—0
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