graph neural network - Robuta Search

https://deepai.org/publication/factorial-user-modeling-with-hierarchical-graph-neural-network-for-enhanced-sequential-recommendation

Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential...

07/27/22 - Most sequential recommendation (SR) systems employing graph neural networks (GNNs) only model a user's interaction sequence as a f...

graph neural network user modeling factorial hierarchical enhanced

https://jicrcr.com/index.php/jicrcr/article/view/3615

Financial Fraud Identification Using Graph Neural Network And LSTM With Autoencoder-Based Data...

graph neural network financial fraud identification using lstm

https://arxiv.org/abs/2007.06868

[2007.06868] A Quantum Graph Neural Network Approach to Particle Track Reconstruction

Abstract page for arXiv paper 2007.06868: A Quantum Graph Neural Network Approach to Particle Track Reconstruction

graph neural network quantum approach particle

https://arxiv.org/abs/2504.03953v1

[2504.03953v1] TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning

Abstract page for arXiv paper 2504.03953v1: TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning

graph neural network tensor aware multi

https://arxiv.org/abs/2301.12638v1

[2301.12638v1] Graph rules for recurrent neural network dynamics: extended version

Abstract page for arXiv paper 2301.12638v1: Graph rules for recurrent neural network dynamics: extended version

recurrent neural network graph rules dynamics extended

https://pubmed.ncbi.nlm.nih.gov/41525646/?utm_source=SimplePie&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1xgjY15FSEnM08BkUJAPtKRrCbdCxnt6lonHr5p3-CWMNYSszy&fc=20220523101529&ff=20260112200053&v=2.18.0.post22+67771e2

GraphSTAR: Proximal Operator-Based Graph Neural Network Enhanced by Dynamic Graph Aggregation for...

Spatial transcriptomics technologies carry out advanced sequencing analysis of molecular profiles with a spatial context, providing multi-source information...

graph neural network proximal operator based enhanced dynamic

https://deepai.org/publication/learning-to-solve-np-complete-problems-a-graph-neural-network-for-decision-tsp

Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP | DeepAI

09/08/18 - Graph Neural Networks (GNN) are a promising technique for bridging differential programming and combinatorial domains. GNNs employ...

graph neural network learning to np complete solve problems

https://www.mdpi.com/1424-8220/23/12/5572

Graph Neural Network-Guided Contrastive Learning for Sequential Recommendation

Sequential recommendation uses contrastive learning to randomly augment user sequences and alleviate the data sparsity problem. However, there is no guarantee...

graph neural network contrastive learning guided sequential recommendation

https://arxiv.org/abs/2209.07031?ref=newsletter.everydayseries.com

[2209.07031] A semantic hierarchical graph neural network for text classification

Abstract page for arXiv paper 2209.07031: A semantic hierarchical graph neural network for text classification

graph neural network semantic hierarchical text