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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 321–330 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings	Jul 22, 2022	Graph Embedding	CodeCode Available	0	5
Graph Representation Ensemble Learning	Sep 6, 2019	Ensemble LearningGraph Embedding	CodeCode Available	0	5
Graph Representation Learning: A Survey	Sep 3, 2019	FormGraph Embedding	CodeCode Available	0	5
Graph Embedding Techniques, Applications, and Performance: A Survey	May 8, 2017	Graph EmbeddingSurvey	CodeCode Available	0	5
Symbolic Graph Embedding using Frequent Pattern Mining	Oct 29, 2019	Graph EmbeddingInductive logic programming	CodeCode Available	0	5
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations	Jun 12, 2019	Graph EmbeddingLink Prediction	CodeCode Available	0	5
Graph isomorphism UNet	Aug 23, 2023	DecoderGraph Classification	CodeCode Available	0	5
Graph Representation Learning Beyond Node and Homophily	Mar 3, 2022	Edge ClassificationGraph Embedding	CodeCode Available	0	5
Approximate spectral clustering density-based similarity for noisy datasets	Feb 22, 2023	ClusteringGraph Clustering	CodeCode Available	0	5
Approximate spectral clustering with eigenvector selection and self-tuned k	Feb 22, 2023	ClusteringGraph Clustering	CodeCode Available	0	5

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Benchmark Results

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