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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 351–360 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
Efficient Parallel Translating Embedding For Knowledge Graphs	Mar 30, 2017	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Efficiently Visualizing Large Graphs	Oct 17, 2023	Dimensionality ReductionGraph 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
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding	Jun 9, 2025	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification	Jan 4, 2020	Action ClassificationActivity Prediction	CodeCode Available	0	5
Cluster Algebras: Network Science and Machine Learning	Mar 25, 2022	Graph Embedding	CodeCode Available	0	5
A Geometric Perspective for High-Dimensional Multiplex Graphs	Jan 29, 2025	Graph Embedding	CodeCode Available	0	5
ExEm: Expert Embedding using dominating set theory with deep learning approaches	Jan 16, 2020	Graph EmbeddingLink Prediction	CodeCode Available	0	5
Graph Representation Ensemble Learning	Sep 6, 2019	Ensemble LearningGraph 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

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Benchmark Results

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