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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 361–370 of 1192 papers

Title	Date	Tasks	Status	Hype	Score
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition	Dec 11, 2022	Contrastive LearningGeneral Knowledge	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
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding	Oct 6, 2019	AttributeGraph Embedding	CodeCode Available	0	5
Efficient Parallel Translating Embedding For Knowledge Graphs	Mar 30, 2017	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available	0	5
Efficiently Visualizing Large Graphs	Oct 17, 2023	Dimensionality ReductionGraph Embedding	CodeCode Available	0	5
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification	Jan 4, 2020	Action ClassificationActivity Prediction	CodeCode Available	0	5
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders	Feb 9, 2018	DecoderGraph Embedding	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
Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning	Oct 12, 2023	Contrastive LearningGenre classification	CodeCode Available	0	5
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning	Nov 27, 2020	Deep Reinforcement LearningGraph Embedding	CodeCode Available	0	5

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Benchmark Results

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