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 1076–1100 of 1192 papers

TitleStatusHype
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification—0
From Node Embedding to Graph Embedding: Scalable Global Graph Kernel via Random Features—0
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction—0
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding—0
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces—0
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning—0
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs—0
Semisupervised regression in latent structure networks on unknown manifolds—0
GARNET: A Spectral Approach to Robust and Scalable Graph Neural Networks—0
AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack—0
GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing—0
DisenE: Disentangling Knowledge Graph Embeddings—0
Sequence-to-Sequence Knowledge Graph Completion and Question Answering—0
GEFF: Graph Embedding for Functional Fingerprinting—0
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction—0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs—0
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic—0
Generalized Graph Embedding Models—0
Discriminative Covariance Oriented Representation Learning for Face Recognition With Image Sets—0
Discrete Knowledge Graph Embedding based on Discrete Optimization—0
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs—0
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness—0
GenURL: A General Framework for Unsupervised Representation Learning—0
SGEN: Single-cell Sequencing Graph Self-supervised Embedding Network—0
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified