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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 901–950 of 1192 papers

TitleStatusHype
GLSearch: Maximum Common Subgraph Detection via Learning to Search—0
Fast Generating A Large Number of Gumbel-Max Variables—0
Which way? Direction-Aware Attributed Graph EmbeddingCode0
GL2vec: Graph Embedding Enriched by Line Graphs with Edge Features—0
A Physical Embedding Model for Knowledge GraphsCode0
GEFF: Graph Embedding for Functional Fingerprinting—0
ExEm: Expert Embedding using dominating set theory with deep learning approachesCode0
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health ClassificationCode0
Knowledge Graph Embedding via Graph Attenuated Attention Networks—0
Probability Calibration for Knowledge Graph Embedding Models—0
An Attention-based Graph Neural Network for Heterogeneous Structural LearningCode0
Bridging the Gap between Community and Node Representations: Graph Embedding via Community DetectionCode0
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification—0
Graph-based Multi-view Binary Learning for Image Clustering—0
Gaussian Embedding of Large-scale Attributed GraphsCode0
Conditional Structure Generation through Graph Variational Generative Adversarial NetsCode0
Product Knowledge Graph Embedding for E-commerce—0
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding—0
An End-to-End Framework for Cold Question Routing in Community Question Answering Services—0
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications—0
Joint Embedding Learning of Educational Knowledge Graphs—0
Exponential Family Graph Embeddings—0
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement LearningCode0
Time2Graph: Revisiting Time Series Modeling with Dynamic ShapeletsCode0
Decompressing Knowledge Graph Representations for Link PredictionCode0
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding—0
Neural Graph Embedding Methods for Natural Language ProcessingCode0
CoKE: Contextualized Knowledge Graph EmbeddingCode0
Dynamic Graph Embedding via LSTM History Tracking—0
Is Performance of Scholars Correlated to Their Research Collaboration Patterns?Code0
Symbolic Graph Embedding using Frequent Pattern MiningCode0
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation—0
Graph Embedding VAE: A Permutation Invariant Model of Graph Structure—0
Cascading: Association Augmented Sequential Recommendation—0
Efficiently Embedding Dynamic Knowledge Graphs—0
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs—0
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding—0
Learning event representations for temporal segmentation of image sequences by dynamic graph embedding—0
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding—0
GraphZoom: A multi-level spectral approach for accurate and scalable graph embeddingCode0
Dynamic Joint Variational Graph Autoencoders—0
Graph Analysis and Graph Pooling in the Spatial Domain—0
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention MechanismCode0
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph EmbeddingCode0
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings—0
Universal Graph Transformer Self-Attention NetworksCode0
Iterative Deep Graph Learning for Graph Neural Networks—0
Global graph curvature—0
A Group-Theoretic Framework for Knowledge Graph Embedding—0
Graph Neural Networks For Multi-Image Matching—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified