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Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 451–460 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
Hierarchical Latent Relation Modeling for Collaborative Metric Learning	Jul 26, 2021	Collaborative FilteringGraph Embedding	CodeCode Available	0	5
Benchmarks for Graph Embedding Evaluation	Aug 19, 2019	BenchmarkingGraph Embedding	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
An FEA surrogate model with Boundary Oriented Graph Embedding approach	Aug 30, 2021	Cantilever BeamDecision Making	CodeCode Available	0	5
Graph Construction using Principal Axis Trees for Simple Graph Convolution	Feb 22, 2023	graph constructionGraph Embedding	CodeCode Available	0	5
RelWalk A Latent Variable Model Approach to Knowledge Graph Embedding	Jan 25, 2021	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
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding	Oct 6, 2019	AttributeGraph 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