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 951–975 of 1192 papers

TitleStatusHype
Concept Graph Embedding Models for Enhanced Accuracy and InterpretabilityCode0
Conditional Structure Generation through Graph Variational Generative Adversarial NetsCode0
Connector 0.5: A unified framework for graph representation learningCode0
Contextualized Structural Self-supervised Learning for Ontology MatchingCode0
Convolutional Hypercomplex Embeddings for Link PredictionCode0
CPa-WAC: Constellation Partitioning-based Scalable Weighted Aggregation Composition for Knowledge Graph EmbeddingCode0
Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree DistributionCode0
CSSR: A Context-Aware Sequential Software Service Recommendation ModelCode0
CS-TGN: Community Search via Temporal Graph Neural NetworksCode0
DAGCN: Dual Attention Graph Convolutional NetworksCode0
Decompressing Knowledge Graph Representations for Link PredictionCode0
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph EmbeddingCode0
DeepE: a deep neural network for knowledge graph embeddingCode0
DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningCode0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
Detect All Abuse! Toward Universal Abusive Language Detection ModelsCode0
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation RepresentationCode0
Development of a Knowledge Graph Embeddings Model for PainCode0
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding RepresentationsCode0
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRankCode0
Differentiating Concepts and Instances for Knowledge Graph EmbeddingCode0
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity PredictionCode0
Dissimilar Nodes Improve Graph Active LearningCode0
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional RotationCode0
Distributed Graph Embedding with Information-Oriented Random WalksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified