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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 381–390 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
Graph U-Nets	May 11, 2019	DecoderGeneral Classification	CodeCode Available	0	5
Knowledge Graph Embedding with Iterative Guidance from Soft Rules	Nov 30, 2017	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders	Feb 9, 2018	DecoderGraph Embedding	CodeCode Available	0	5
Graph Representation Learning via Hard and Channel-Wise Attention Networks	Jul 5, 2019	Graph AttentionGraph Classification	CodeCode Available	0	5
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning	Dec 16, 2021	Graph EmbeddingGraph Generation	CodeCode Available	0	5
EchoEA: Echo Information between Entities and Relations for Entity Alignment	Jul 7, 2021	AttributeEntity Alignment	CodeCode Available	0	5
Graph Representation Ensemble Learning	Sep 6, 2019	Ensemble LearningGraph Embedding	CodeCode Available	0	5
A parameter-free graph reduction for spectral clustering and SpectralNet	Feb 25, 2023	ClusteringGraph Clustering	CodeCode Available	0	5
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding	Feb 27, 2021	Dynamic graph embeddingGraph Embedding	CodeCode Available	0	5
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection	Dec 17, 2019	Community DetectionGraph Embedding	CodeCode Available	0	5

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Benchmark Results

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