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 851900 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
PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems0
PPPNE: Personalized proximity preserved network embedding0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings0
Predicting event attendance exploring social influence0
Transition-based Knowledge Graph Embedding with Relational Mapping Properties0
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding0
Translating Embeddings in Document for Modeling Multi-relational Graphs0
Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset0
Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction0
Predictive Query-based Pipeline for Graph Data0
TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation0
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset0
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens0
Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models0
Unified Framework for Feature Extraction based on Contrastive Learning0
TR at SemEval-2020 Task 4: Exploring the Limits of Language-model-based Common Sense Validation0
Probability Calibration for Knowledge Graph Embedding Models0
Product Knowledge Graph Embedding for E-commerce0
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion0
ProtNN: Fast and Accurate Nearest Neighbor Protein Function Prediction based on Graph Embedding in Structural and Topological Space0
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations0
PubGraph: A Large-Scale Scientific Knowledge Graph0
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer0
A Unified Framework for Cross-Domain and Cross-System Recommendations0
Pykg2vec: A Python Library for Knowledge Graph Embedding0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified