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 901–925 of 1192 papers

TitleStatusHype
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder IdentificationCode0
Unify Local and Global Information for Top-N RecommendationCode0
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled GraphsCode0
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram ModelCode0
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddingsCode0
A Geometric Perspective for High-Dimensional Multiplex GraphsCode0
All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional NetworksCode0
An Adversarial Transfer Network for Knowledge Representation LearningCode0
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
An FEA surrogate model with Boundary Oriented Graph Embedding approachCode0
An Investigation of Evaluation Metrics for Automated Medical Note GenerationCode0
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph EmbeddingCode0
A parameter-free graph reduction for spectral clustering and SpectralNetCode0
A Physical Embedding Model for Knowledge GraphsCode0
Approximate spectral clustering density-based similarity for noisy datasetsCode0
Approximate spectral clustering with eigenvector selection and self-tuned kCode0
Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph EmbeddingCode0
Are Graph Embeddings the Panacea? An Empirical Survey from the Data Fitness PerspectiveCode0
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
A robust feature reinforcement framework for heterogeneous graphs neural networksCode0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified