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 701–750 of 1192 papers

TitleStatusHype
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion—0
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network—0
Vertex Nomination, Consistent Estimation, and Adversarial Modification—0
Learning to Map Natural Language Statements into Knowledge Base Representations for Knowledge Base Construction—0
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems—0
Learn to Unlearn: Meta-Learning-Based Knowledge Graph Embedding Unlearning—0
Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases—0
Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs—0
Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter—0
The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration—0
Consistent Multiple Graph Embedding for Multi-View Clustering—0
Conformal Prediction for Network-Assisted Regression—0
Conformalized Answer Set Prediction for Knowledge Graph Embedding—0
Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network—0
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding—0
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search—0
Lightweight Spatio-Temporal Attention Network with Graph Embedding and Rotational Position Encoding for Traffic Forecasting—0
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings—0
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations—0
Deep Patent Landscaping Model Using Transformer and Graph Embedding—0
3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching—0
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models—0
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case—0
Little Ball of Fur: A Python Library for Graph Sampling—0
Local Intrinsic Dimensionality for Dynamic Graph Embeddings—0
Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings—0
Composing Knowledge Graph Embeddings via Word Embeddings—0
Locally Adaptive Translation for Knowledge Graph Embedding—0
3D Shape Knowledge Graph for Cross-domain 3D Shape Retrieval—0
Location Sensitive Embedding for Knowledge Graph Reasoning—0
TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook—0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules—0
LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules—0
Logic Rules Powered Knowledge Graph Embedding—0
LogSHIELD: A Graph-based Real-time Anomaly Detection Framework using Frequency Analysis—0
Community detection in networks using graph embeddings—0
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks—0
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation—0
Community Detection in General Hypergraph via Graph Embedding—0
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification—0
Manifold Graph Signal Restoration using Gradient Graph Laplacian Regularizer—0
Manifold learning via quantum dynamics—0
A Deep Graph Embedding Network Model for Face Recognition—0
MDistMult: A Multiple Scoring Functions Model for Link Prediction on Antiviral Drugs Knowledge Graph—0
MedGraph: An experimental semantic information retrieval method using knowledge graph embedding for the biomedical citations indexed in PubMed—0
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?—0
Membership Inference Attacks on Knowledge Graphs—0
Memory and Capacity of Graph Embedding Methods—0
Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs—0
Mercem: Method Name Recommendation Based on Call Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified