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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 161–170 of 1192 papers

Title	Date	Tasks	Status	Hype
Deep Hypergraph U-Net for Brain Graph Embedding and Classification	Aug 30, 2020	ClassificationDiagnostic	CodeCode Available	1
Quaternion Graph Neural Networks	Aug 12, 2020	General ClassificationGraph Classification	CodeCode Available	1
Adversarial Directed Graph Embedding	Aug 9, 2020	Generative Adversarial NetworkGraph Embedding	CodeCode Available	1
funcGNN: A Graph Neural Network Approach to Program Similarity	Jul 26, 2020	Code SearchGraph Embedding	CodeCode Available	1
Graph-based prediction of Protein-protein interactions with attributed signed graph embedding	Jul 21, 2020	Graph EmbeddingGraph Representation Learning	CodeCode Available	1
Adaptive Graph Encoder for Attributed Graph Embedding	Jul 3, 2020	ClusteringGraph Embedding	CodeCode Available	1
Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation	Jul 1, 2020	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	1
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction	Jul 1, 2020	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	1
Approximating Network Centrality Measures Using Node Embedding and Machine Learning	Jun 29, 2020	BIG-bench Machine LearningGraph Embedding	CodeCode Available	1
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion	Jun 29, 2020	Graph EmbeddingKnowledge Graph Completion	CodeCode Available	1

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Benchmark Results

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