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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 241–250 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
Augmenting Knowledge Graphs for Better Link Prediction	Mar 26, 2022	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Graph Representation Learning: A Survey	Sep 3, 2019	FormGraph Embedding	CodeCode Available	0	5
Decompressing Knowledge Graph Representations for Link Prediction	Nov 11, 2019	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Accurate, Efficient and Scalable Graph Embedding	Oct 28, 2018	ClusteringGraph Embedding	CodeCode Available	0	5
Graph Embedding Techniques, Applications, and Performance: A Survey	May 8, 2017	Graph EmbeddingSurvey	CodeCode Available	0	5
An Adversarial Transfer Network for Knowledge Representation Learning	Apr 30, 2021	Graph EmbeddingKnowledge Graph Completion	CodeCode Available	0	5
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations	Jun 12, 2019	Graph EmbeddingLink Prediction	CodeCode Available	0	5
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism	Oct 1, 2019	General ClassificationGraph Classification	CodeCode Available	0	5
DAGCN: Dual Attention Graph Convolutional Networks	Apr 4, 2019	General ClassificationGraph Classification	CodeCode Available	0	5
Graph Embedding Augmented Skill Rating System	Apr 17, 2023	Graph Embedding	CodeCode Available	0	5

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Benchmark Results

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