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 791–800 of 1192 papers

TitleStatusHype
SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches—0
Region Graph Embedding Network for Zero-Shot Learning—0
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph EmbeddingsCode2
funcGNN: A Graph Neural Network Approach to Program SimilarityCode1
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach—0
Graph-based prediction of Protein-protein interactions with attributed signed graph embeddingCode1
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph DescriptionCode0
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective—0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified