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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 311–320 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
CoKE: Contextualized Knowledge Graph Embedding	Nov 6, 2019	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Graph Embedding Techniques, Applications, and Performance: A Survey	May 8, 2017	Graph EmbeddingSurvey	CodeCode Available	0	5
A Geometric Perspective for High-Dimensional Multiplex Graphs	Jan 29, 2025	Graph Embedding	CodeCode Available	0	5
Cluster Algebras: Network Science and Machine Learning	Mar 25, 2022	Graph Embedding	CodeCode Available	0	5
Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User Anomalies	Sep 19, 2024	Anomaly DetectionGraph Embedding	CodeCode Available	0	5
Are Graph Embeddings the Panacea? An Empirical Survey from the Data Fitness Perspective	Apr 25, 2024	Graph ClassificationGraph 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 isomorphism UNet	Aug 23, 2023	DecoderGraph 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
Spatio-Temporal Action Graph Networks	Dec 4, 2018	Activity RecognitionAutonomous Driving	CodeCode Available	0	5

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Benchmark Results

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