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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 471–480 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment Analysis	Aug 27, 2024	Graph EmbeddingMultimodal Sentiment Analysis	CodeCode Available	0	5
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding	Dec 28, 2023	Graph EmbeddingLink Prediction	CodeCode Available	0	5
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning	May 30, 2023	Graph EmbeddingRepresentation Learning	CodeCode Available	0	5
Graph Embedding Techniques, Applications, and Performance: A Survey	May 8, 2017	Graph EmbeddingSurvey	CodeCode Available	0	5
Differentiating Concepts and Instances for Knowledge Graph Embedding	Nov 12, 2018	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank	Jul 14, 2022	Graph EmbeddingGraph Learning	CodeCode Available	0	5
Attributed Graph Clustering: A Deep Attentional Embedding Approach	Jun 15, 2019	ClusteringDecoder	CodeCode Available	0	5
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks	Aug 28, 2019	General ClassificationGraph Embedding	CodeCode Available	0	5
Graph U-Nets	May 11, 2019	DecoderGeneral Classification	CodeCode Available	0	5
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations	Jan 28, 2024	AttributeGraph Embedding	CodeCode Available	0	5

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Benchmark Results

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