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Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 291–300 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations	Jun 12, 2019	Graph EmbeddingLink Prediction	CodeCode Available	0	5
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality	Jul 1, 2022	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Graph Embedding Techniques, Applications, and Performance: A Survey	May 8, 2017	Graph EmbeddingSurvey	CodeCode Available	0	5
Compositional Fairness Constraints for Graph Embeddings	May 25, 2019	FairnessGraph Embedding	CodeCode Available	0	5
Graph-Embedded Subspace Support Vector Data Description	Apr 29, 2021	General ClassificationGraph Embedding	CodeCode Available	0	5
Graph Embedding Augmented Skill Rating System	Apr 17, 2023	Graph Embedding	CodeCode Available	0	5
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning	Aug 31, 2023	Graph EmbeddingGraph Representation Learning	CodeCode Available	0	5
Active Learning for Graph Embedding	May 15, 2017	Active LearningGraph Embedding	CodeCode Available	0	5
Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning	Jul 15, 2023	Graph Embedding	CodeCode Available	0	5
Graph Embedding based Wireless Link Scheduling with Few Training Samples	Jun 7, 2019	Graph EmbeddingScheduling	CodeCode Available	0	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DeepGG	Entropy Difference	0	—	Unverified