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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 391–400 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection	Dec 17, 2019	Community DetectionGraph 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
Graph U-Nets	May 11, 2019	DecoderGeneral Classification	CodeCode Available	0	5
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs	Sep 28, 2021	DiversityDynamic graph embedding	CodeCode Available	0	5
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding	Nov 23, 2020	Fraud DetectionGraph Embedding	CodeCode Available	0	5
Dynamic Graph Representation Learning with Fourier Temporal State Embedding	Jan 1, 2021	Graph EmbeddingGraph Representation Learning	CodeCode Available	0	5
Dynamic Graph Representation Learning via Self-Attention Networks	Dec 22, 2018	General ClassificationGraph Embedding	CodeCode Available	0	5
Concept Graph Embedding Models for Enhanced Accuracy and Interpretability	Aug 13, 2024	Concept-based ClassificationGraph Embedding	CodeCode Available	0	5
Faithiful Embeddings for EL++ Knowledge Bases	Jan 24, 2022	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Adversarially Regularized Graph Attention Networks for Inductive Learning on Partially Labeled Graphs	Jun 7, 2021	Graph AttentionGraph Embedding	CodeCode Available	0	5

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Benchmark Results

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