SOTAVerified

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 526–550 of 1192 papers

TitleStatusHype
Hierarchical Latent Relation Modeling for Collaborative Metric LearningCode0
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding—0
Grassmann Graph Embedding—0
Degree-Based Random Walk Approach for Graph Embedding—0
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding—0
Deep Reinforcement Learning for Electric Vehicle Routing Problem with Time Windows—0
Graph U-Net—0
GraphTTS: graph-to-sequence modelling in neural text-to-speech—0
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification—0
Authorship Recognition with Short-Text using Graph-based Techniques—0
Graph Similarities and Dual Approach for Sequential Text-to-Image Retrieval—0
Graph Representation Learning on Tissue-Specific Multi-Omics—0
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding—0
Graph Relation Aware Continual Learning—0
Deep Learning on Knowledge Graph for Recommender System: A Survey—0
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
Deep Patent Landscaping Model Using Transformer and Graph Embedding—0
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis—0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion—0
Graph Node Embeddings using Domain-Aware Biased Random Walks—0
Graph Neural Networks For Multi-Image Matching—0
Unified Framework for Feature Extraction based on Contrastive Learning—0
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading—0
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations—0
DEEP GEOMETRICAL GRAPH CLASSIFICATION—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified