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 726–750 of 1192 papers

TitleStatusHype
Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field—0
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding—0
Relation order histograms as a network embedding toolCode0
Scientific Dataset Discovery via Topic-level Recommendation—0
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled GraphsCode0
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey—0
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks—0
Embedding Knowledge Graphs Attentive to Positional and Centrality QualitiesCode0
Network embedding unveils the hidden interactions in the mammalian virome—0
High Tension Lines: Predicting robustness of high-voltage power-grids to cascading failure using network embedding—0
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems—0
Out-of-Vocabulary Entities in Link PredictionCode0
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge—0
A Comprehensive Survey on Community Detection with Deep Learning—0
A unified framework based on graph consensus term for multi-view learning—0
A Robust and Generalized Framework for Adversarial Graph EmbeddingCode0
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph CompletionCode0
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes—0
Consistent Multiple Graph Embedding for Multi-View Clustering—0
Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs—0
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering—0
An Adversarial Transfer Network for Knowledge Representation LearningCode0
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph—0
Graph-Embedded Subspace Support Vector Data DescriptionCode0
Unsupervised Deep Manifold Attributed Graph EmbeddingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified