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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 801–850 of 1192 papers

TitleStatusHype
Multi-view Graph Convolutional Networks with Differentiable Node Selection—0
Multi-View Graph Embedding Using Randomized Shortest Paths—0
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis—0
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding—0
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis—0
Toward Understanding The Effect of Loss Function on The Performance of Knowledge Graph Embedding—0
NASGEM: Neural Architecture Search via Graph Embedding Method—0
Negative Sampling in Knowledge Graph Representation Learning: A Review—0
TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models—0
Neighbor2vec: an efficient and effective method for Graph Embedding—0
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks—0
Scalable Hypergraph Embedding System—0
TraceWalk: Semantic-based Process Graph Embedding for Consistency Checking—0
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network—0
Network representation learning systematic review: ancestors and current development state—0
Training like Playing: A Reinforcement Learning And Knowledge Graph-based framework for building Automatic Consultation System in Medical Field—0
Causal-aware Graph Neural Architecture Search under Distribution Shifts—0
Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding—0
Neural Networks in a Product of Hyperbolic Spaces—0
Cascading: Association Augmented Sequential Recommendation—0
Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About?—0
NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation—0
Trans4E: Link Prediction on Scholarly Knowledge Graphs—0
Building Graph Representations of Deep Vector Embeddings—0
TransA: An Adaptive Approach for Knowledge Graph Embedding—0
NoiGAN: NOISE AWARE KNOWLEDGE GRAPH EMBEDDING WITH GAN—0
Non-Progressive Influence Maximization in Dynamic Social Networks—0
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding—0
Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding—0
Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery—0
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications—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
Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts—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
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows—0
Blockchain Phishing Scam Detection via Multi-channel Graph Classification—0
Biomedical Network Link Prediction using Neural Network Graph Embedding—0
Open Knowledge Base Canonicalization with Multi-task Unlearning—0
Open Knowledge Base Canonicalization with Multi-task Learning—0
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method—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
TransG : A Generative Mixture Model for Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified