SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1151–1192 of 1192 papers

TitleStatusHype
Scalable Recommendation of Wikipedia Articles to Editors Using Representation LearningCode0
Semi-Supervised Graph Attention Networks for Event Representation LearningCode0
Semi-Supervised Graph Classification: A Hierarchical Graph PerspectiveCode0
Semi-supervised multi-label feature selection via label correlation analysis with l1-norm graph embeddingCode0
Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex SpaceCode0
Single-cell Curriculum Learning-based Deep Graph Embedding ClusteringCode0
SPADE: A Spectral Method for Black-Box Adversarial Robustness EvaluationCode0
Spectral Clustering for Divide-and-Conquer Graph MatchingCode0
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph EmbeddingCode0
Speed-up and multi-view extensions to Subclass Discriminant AnalysisCode0
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set RetrievalCode0
Splitter: Learning Node Representations that Capture Multiple Social ContextsCode0
Stay Positive: Knowledge Graph Embedding Without Negative SamplingCode0
struc2vec: Learning Node Representations from Structural IdentityCode0
Structure-Preference Enabled Graph Embedding Generation under Differential PrivacyCode0
Temporal Link Prediction Using Graph Embedding DynamicsCode0
Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network ClassifierCode0
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding ModelsCode0
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness RegularizerCode0
The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion ModelsCode0
Time2Graph: Revisiting Time Series Modeling with Dynamic ShapeletsCode0
Topologically Regularized Data EmbeddingsCode0
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing ApproachCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal RestrictionCode0
TreeRNN: Topology-Preserving Deep GraphEmbedding and LearningCode0
TuckerDNCaching: high-quality negative sampling with tucker decompositionCode0
Twitter User Representation Using Weakly Supervised Graph EmbeddingCode0
Two Layer Walk: A Community-Aware Graph EmbeddingCode0
Two-view Graph Neural Networks for Knowledge Graph CompletionCode0
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph EmbeddingCode0
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph EmbeddingCode0
Universal Knowledge Graph EmbeddingsCode0
Unsupervised Deep Manifold Attributed Graph EmbeddingCode0
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph ProximityCode0
Universal Graph Transformer Self-Attention NetworksCode0
Valid Conformal Prediction for Dynamic GNNsCode0
Visualizing DNA reaction trajectories with deep graph embedding approachesCode0
Wasserstein Graph Distance Based on L_1-Approximated Tree Edit Distance between Weisfeiler-Lehman SubtreesCode0
Watch Your Step: Learning Node Embeddings via Graph AttentionCode0
Which way? Direction-Aware Attributed Graph EmbeddingCode0
Whole-Graph Representation Learning For the Classification of Signed NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified