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 41–50 of 1192 papers

TitleStatusHype
Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree DistributionCode0
Two Layer Walk: A Community-Aware Graph EmbeddingCode0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings—0
Predictive Query-based Pipeline for Graph Data—0
From communities to interpretable network and word embedding: an unified approach—0
Non-Progressive Influence Maximization in Dynamic Social Networks—0
Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Dataset—0
Distance-Adaptive Quaternion Knowledge Graph Embedding with Bidirectional RotationCode0
Interpreting single-cell and spatial omics data using deep neural network training dynamicsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified