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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 751–800 of 1192 papers

TitleStatusHype
Tight and fast generalization error bound of graph embedding in metric space—0
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph—0
Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding—0
Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning—0
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies—0
Visualization of Knowledge Graphs with Embeddings: an Essay on Recent Trends and Methods—0
Milgram's experiment in the knowledge space: Individual navigation strategies—0
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution—0
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach—0
MixKG: Mixing for harder negative samples in knowledge graph—0
Mixture-of-Graphs: Zero-shot Relational Learning for Knowledge Graph by Fusing Ontology and Textual Experts—0
MöbiusE: Knowledge Graph Embedding on Möbius Ring—0
Whom to Learn From? Graph- vs. Text-based Word Embeddings—0
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image—0
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting—0
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language—0
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding—0
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis—0
Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding—0
ModulE: Module Embedding for Knowledge Graphs—0
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings—0
Adaptive Fuzzy C-Means with Graph Embedding—0
MoReL: Multi-omics Relational Learning—0
Co-embedding of Nodes and Edges with Graph Neural Networks—0
A Comprehensive Survey on Deep Graph Representation Learning—0
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models—0
MRA-GNN: Minutiae Relation-Aware Model over Graph Neural Network for Fingerprint Embedding—0
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning—0
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis—0
MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs—0
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings—0
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis—0
TorusE: Knowledge Graph Embedding on a Lie Group—0
Multidimensional Hopfield Networks for clustering—0
Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis—0
Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network—0
A Comprehensive Survey on Community Detection with Deep Learning—0
MULTI-LEVEL APPROACH TO ACCURATE AND SCALABLE HYPERGRAPH EMBEDDING—0
Class Granularity: How richly does your knowledge graph represent the real world?—0
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding—0
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery—0
Data Poisoning Attack against Knowledge Graph Embedding—0
Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph—0
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning—0
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning—0
ChronoR: Rotation Based Temporal Knowledge Graph Embedding—0
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning—0
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction—0
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning—0
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified