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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 601–650 of 1192 papers

TitleStatusHype
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification—0
NASGEM: Neural Architecture Search via Graph Embedding Method—0
Negative Sampling in Knowledge Graph Representation Learning: A Review—0
Cross-validation of matching correlation analysis by resampling matching weights—0
Neighbor2vec: an efficient and effective method for Graph Embedding—0
Scalable Hypergraph Embedding System—0
Cross Version Defect Prediction with Class Dependency Embeddings—0
Network representation learning systematic review: ancestors and current development state—0
CS-MLGCN : Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks—0
Neural Networks in a Product of Hyperbolic Spaces—0
NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation—0
An experimental study of graph-based semi-supervised classification with additional node information—0
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network—0
NoiGAN: NOISE AWARE KNOWLEDGE GRAPH EMBEDDING WITH GAN—0
Non-Progressive Influence Maximization in Dynamic Social Networks—0
Semantic and Expressive Variation in Image Captions Across Languages—0
Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding—0
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations—0
On2Vec: Embedding-based Relation Prediction for Ontology Population—0
One-Class Kernel Spectral Regression—0
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion—0
On Masked Language Models for Contextual Link Prediction—0
On representation power of neural network-based graph embedding and beyond—0
On Self-Distilling Graph Neural Network—0
Curvature Regularization to Prevent Distortion in Graph Embedding—0
On The Expressive Power of Knowledge Graph Embedding Methods—0
Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding—0
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications—0
Open Knowledge Base Canonicalization with Multi-task Unlearning—0
Open Knowledge Base Canonicalization with Multi-task Learning—0
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation—0
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings—0
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding—0
Out-of-sample Extension for Latent Position Graphs—0
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods—0
Overcoming Data Sparsity in Group Recommendation—0
Data-driven Smart Ponzi Scheme Detection—0
P^2IR: Universal Deep Node Representation via Partial Permutation Invariant Set Functions—0
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks—0
Data-Efficient Graph Embedding Learning for PCB Component Detection—0
Parallel Computation of Graph Embeddings—0
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings—0
Pattern Analysis of Money Flow in the Bitcoin Blockchain—0
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks—0
Persian topic detection based on Human Word association and graph embedding—0
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph—0
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding—0
PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels—0
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions—0
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified