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 1151–1192 of 1192 papers

TitleStatusHype
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability—0
DFraud3- Multi-Component Fraud Detection freeof Cold-start—0
Graphfool: Targeted Label Adversarial Attack on Graph Embedding—0
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations—0
SoTCKGE:Continual Knowledge Graph Embedding Based on Spatial Offset Transformation—0
Source-Aware Embedding Training on Heterogeneous Information Networks—0
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading—0
Graph Neural Networks For Multi-Image Matching—0
Graph Node Embeddings using Domain-Aware Biased Random Walks—0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion—0
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis—0
Graph Relation Aware Continual Learning—0
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space—0
Spaceland Embedding of Sparse Stochastic Graphs—0
What the Vec? Towards Probabilistically Grounded Embeddings—0
Graph Representation Learning on Tissue-Specific Multi-Omics—0
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding—0
Detection of Correlated Alarms Using Graph Embedding—0
Graph Similarities and Dual Approach for Sequential Text-to-Image Retrieval—0
GraphTTS: graph-to-sequence modelling in neural text-to-speech—0
Graph U-Net—0
Spatial Autoregressive Coding for Graph Neural Recommendation—0
Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction—0
Spatio-Temporal Relation Learning for Video Anomaly Detection—0
An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM—0
Grassmann Graph Embedding—0
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding—0
Group Representation Theory for Knowledge Graph Embedding—0
GRVFL-MV: Graph Random Vector Functional Link Based on Multi-View Learning—0
Spectral Augmentations for Graph Contrastive Learning—0
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation—0
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network—0
Detecting text level intellectual influence with knowledge graph embeddings—0
Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task—0
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification—0
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning—0
Heterogeneous Graph Neural Network with Multi-view Representation Learning—0
Heterogeneous manifolds for curvature-aware graph embedding—0
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs—0
Unsupervised Features Extraction for Binary Similarity Using Graph Embedding Neural Networks—0
Spectral Embedding of Graph Networks—0
Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified