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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 511–520 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
Automatic selection of clustering algorithms using supervised graph embedding	Nov 16, 2020	AutoMLClustering	CodeCode Available	0	5
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
HetReGAT-FC: heterogeneous residual graph attention network via feature completion	Jun 1, 2023	Graph AttentionGraph 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
Hierarchical Latent Relation Modeling for Collaborative Metric Learning	Jul 26, 2021	Collaborative FilteringGraph Embedding	CodeCode Available	0	5
Detect All Abuse! Toward Universal Abusive Language Detection Models	Oct 8, 2020	Abusive LanguageAll	CodeCode Available	0	5
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations	Aug 12, 2021	Graph EmbeddingGraph Representation Learning	CodeCode Available	0	5
Identifying Conspiracy Theories News based on Event Relation Graph	Oct 28, 2023	Graph AttentionGraph Embedding	CodeCode Available	0	5
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding	Oct 28, 2023	Graph ClassificationGraph Embedding	CodeCode Available	0	5

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Benchmark Results

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