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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 231–240 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
Graph isomorphism UNet	Aug 23, 2023	DecoderGraph Classification	CodeCode Available	0	5
Augmenting Knowledge Graphs for Better Link Prediction	Mar 26, 2022	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations	Jun 12, 2019	Graph EmbeddingLink Prediction	CodeCode Available	0	5
Graph Embedding Techniques, Applications, and Performance: A Survey	May 8, 2017	Graph EmbeddingSurvey	CodeCode Available	0	5
Robust Graph Representation Learning for Local Corruption Recovery	Feb 10, 2022	Graph EmbeddingGraph Learning	CodeCode Available	0	5
Attributed Graph Clustering: A Deep Attentional Embedding Approach	Jun 15, 2019	ClusteringDecoder	CodeCode Available	0	5
Decompressing Knowledge Graph Representations for Link Prediction	Nov 11, 2019	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Graph-Embedded Subspace Support Vector Data Description	Apr 29, 2021	General ClassificationGraph Embedding	CodeCode Available	0	5
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks	Dec 3, 2023	Feature EngineeringGraph Embedding	CodeCode Available	0	5
An Adversarial Transfer Network for Knowledge Representation Learning	Apr 30, 2021	Graph EmbeddingKnowledge Graph Completion	CodeCode Available	0	5

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Benchmark Results

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