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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 261–270 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation	Nov 2, 2018	Community Question AnsweringGraph Embedding	CodeCode Available	0	5
A Canonicalization Perspective on Invariant and Equivariant Learning	May 28, 2024	Graph ClassificationGraph Embedding	CodeCode Available	0	5
Graph isomorphism UNet	Aug 23, 2023	DecoderGraph Classification	CodeCode Available	0	5
Robust Graph Representation Learning for Local Corruption Recovery	Feb 10, 2022	Graph EmbeddingGraph Learning	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
Hierarchical stochastic graphlet embedding for graph-based pattern recognition	Jul 8, 2018	BIG-bench Machine LearningClustering	CodeCode Available	0	5
Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning	Oct 12, 2023	Contrastive LearningGenre classification	CodeCode Available	0	5
Graph-Embedded Subspace Support Vector Data Description	Apr 29, 2021	General ClassificationGraph Embedding	CodeCode Available	0	5
Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning	Jul 15, 2023	Graph Embedding	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