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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 251–260 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
Graph isomorphism UNet	Aug 23, 2023	DecoderGraph Classification	CodeCode Available	0	5
Graph Representation Ensemble Learning	Sep 6, 2019	Ensemble LearningGraph Embedding	CodeCode Available	0	5
Graph U-Nets	May 11, 2019	DecoderGeneral Classification	CodeCode Available	0	5
Graph Embedding based Wireless Link Scheduling with Few Training Samples	Jun 7, 2019	Graph EmbeddingScheduling	CodeCode Available	0	5
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations	Jun 12, 2019	Graph EmbeddingLink Prediction	CodeCode Available	0	5
Graph-Embedded Subspace Support Vector Data Description	Apr 29, 2021	General ClassificationGraph 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 Augmented Skill Rating System	Apr 17, 2023	Graph Embedding	CodeCode Available	0	5
Graph Embedding Techniques, Applications, and Performance: A Survey	May 8, 2017	Graph EmbeddingSurvey	CodeCode Available	0	5
CS-TGN: Community Search via Temporal Graph Neural Networks	Mar 15, 2023	Community SearchGraph Embedding	CodeCode Available	0	5

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Benchmark Results

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