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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 431–440 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
HetReGAT-FC: heterogeneous residual graph attention network via feature completion	Jun 1, 2023	Graph AttentionGraph Embedding	CodeCode Available	0	5
Biomedical Knowledge Graph Embeddings with Negative Statements	Aug 7, 2023	Graph EmbeddingGraph Representation 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
Distributed Graph Embedding with Information-Oriented Random Walks	Mar 28, 2023	CPUGraph Embedding	CodeCode Available	0	5
GLEE: Geometric Laplacian Eigenmap Embedding	May 23, 2019	Graph EmbeddingGraph Reconstruction	CodeCode Available	0	5
All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional Networks	Jan 7, 2019	AllGraph Embedding	CodeCode Available	0	5
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders	Feb 9, 2018	DecoderGraph Embedding	CodeCode Available	0	5
Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution	Dec 18, 2024	Graph Embedding	CodeCode Available	0	5
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding	Oct 6, 2019	AttributeGraph Embedding	CodeCode Available	0	5
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction	Nov 15, 2022	Graph EmbeddingPrediction	CodeCode Available	0	5

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Benchmark Results

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