SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Showing 851875 of 1192 papers

TitleStatusHype
Overcoming Data Sparsity in Group Recommendation0
TransG : A Generative Model for Knowledge Graph Embedding0
P^2IR: Universal Deep Node Representation via Partial Permutation Invariant Set Functions0
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules0
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks0
Walk this Way! Entity Walks and Property Walks for RDF2vec0
Parallel Computation of Graph Embeddings0
Binarized Graph Neural Network0
Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction0
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings0
Pattern Analysis of Money Flow in the Bitcoin Blockchain0
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks0
Persian topic detection based on Human Word association and graph embedding0
Behavioral graph fraud detection in E-commerce0
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference0
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding0
PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels0
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding0
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions0
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding0
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding0
Pointer Networks with Q-Learning for Combinatorial Optimization0
Authorship Recognition with Short-Text using Graph-based Techniques0
Potential destination discovery for low predictability individuals based on knowledge graph0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified