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 541–550 of 1192 papers

TitleStatusHype
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