Graph neural networks for network analysis

Graph neural networks for network analysis

<p>With an increasing number of applications where data can be represented as graphs, graph neural networks (GNNs) are a useful tool to apply deep learning to graph data. Signed and directed networks are important forms of networks that are linked to many real-world problems, such as ranking f...

Descripció completa

Dades bibliogràfiques
Autor principal:	He, Y
Altres autors:	Dong, X
Format:	Thesis
Idioma:	English
Publicat:	2024
Matèries:	Neural networks (computer science) Deep learning (machine learning) Machine learning Graph theory Social sciences > network analysis

Ítems similars

JGNN: Graph Neural Networks on native Java
per: Emmanouil Krasanakis, et al.
Publicat: (2023-07-01)

Auto-GNN: Neural architecture search of graph neural networks
per: Kaixiong Zhou, et al.
Publicat: (2022-11-01)

FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction
per: Arnold Kazadi, et al.
Publicat: (2024-01-01)

Graph neural networks with a distribution of parametrized graphs
per: Lee, See Hian, et al.
Publicat: (2024)

p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks
per: Emmanouil Krasanakis, et al.
Publicat: (2022-01-01)

Improved Lipophilicity and Aqueous Solubility Prediction with Composite Graph Neural Networks
per: Oliver Wieder, et al.
Publicat: (2021-10-01)

GNNGLY: Graph Neural Networks for Glycan Classification
per: Alhasan Alkuhlani, et al.
Publicat: (2023-01-01)

reg-sgc: An open-source software for regularized Simple Graph Convolution
per: Patrick Pho, et al.
Publicat: (2023-02-01)

Understanding approximation for Bayesian inference in neural networks
per: Farquhar, S
Publicat: (2022)

Survey on graph embeddings and their applications to machine learning problems on graphs
per: Ilya Makarov, et al.
Publicat: (2021-02-01)

A graph neural network simulation of dispersed systems
per: Aref Hashemi, et al.
Publicat: (2025-01-01)

A Review of Graph Neural Networks and Their Applications in Power Systems
per: Wenlong Liao, et al.
Publicat: (2022-01-01)

Towards effective graph representations by leveraging geometric concepts
per: Lee, See Hian
Publicat: (2024)

Neural Networks and Deep Learning : A Textbook /
per: Aggarwal, Charu C., author 275428
Publicat: (2018)

Graph neural networks: A review of methods and applications
per: Jie Zhou, et al.
Publicat: (2020-01-01)

Graph-Informed Neural Networks for Regressions on Graph-Structured Data
per: Stefano Berrone, et al.
Publicat: (2022-03-01)

Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia
per: Gayathri Sunil, et al.
Publicat: (2024-01-01)

Graph neural differential equation networks for improved representation learning and robustness
per: Zhao, Kai
Publicat: (2025)

Application of graph neural networks to predict explosion-induced transient flow
per: Ginevra Covoni, et al.
Publicat: (2024-09-01)

Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks
per: Juexin Wang, et al.
Publicat: (2020-01-01)

The Impact of Global Structural Information in Graph Neural Networks Applications
per: Davide Buffelli, et al.
Publicat: (2022-01-01)

Graph neural networks and cross-protocol analysis for detecting malicious IP addresses
per: Yonghong Huang, et al.
Publicat: (2022-09-01)

Neural networks and statistical learning /
per: Du, Ke-Lin, author, et al.
Publicat: (2014)

GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing
per: Niccolò Pancino, et al.
Publicat: (2022-06-01)

Enhancement of fault detection at transmitter optical subassembly process using artificial neural network /
per: Anurag Das, 1991- author 633745, et al.
Publicat: (2018)

Investigating graph neural networks and classical feature-extraction techniques in activity-cliff and molecular property prediction
per: Dablander, MF
Publicat: (2023)

Graph Neural Networks: A Bibliometric Mapping of the Research Landscape and Applications
per: Annielle Mendes Brito da Silva, et al.
Publicat: (2024-10-01)

Quantum computing and quantum neural networks: their foundation, optimisation, and application
per: Pointing, J
Publicat: (2024)

Understanding convolutional neural networks
per: Fong, R
Publicat: (2020)

Scalable algorithms for physics-informed neural and graph networks
per: Khemraj Shukla, et al.
Publicat: (2022-01-01)

Bioactivity classification of anti aids compounds using neural network and and support vector machine : a comparison /
per: 405154 Rahayu A. Hamid
Publicat: (2005)

CayleyNets : graph convolutional neural networks with complex rational spectral filters
per: Levie, Ron, et al.
Publicat: (2020)

Universality of Büchi Automata: Analysis With Graph Neural Networks
per: Christophe Stammet, et al.
Publicat: (2023-01-01)

Bioactivity classification of anti aids compounds using neural network and and support vector machine [compact disc] : a comparison /
per: 405154 Rahayu A. Hamid
Publicat: (2005)

A Comprehensive Survey of Graph Neural Networks for Knowledge Graphs
per: Zi Ye, et al.
Publicat: (2022-01-01)

Deep learning for graph structured data
per: Dwivedi Vijay Prakash
Publicat: (2024)

An Efficient Optimization Technique for Training Deep Neural Networks
per: Faisal Mehmood, et al.
Publicat: (2023-03-01)

Harnessing Graph Neural Networks to Predict International Trade Flows
per: Bassem Sellami, et al.
Publicat: (2024-06-01)

A Novel Graph Neural Network Methodology to Investigate Dihydroorotate Dehydrogenase Inhibitors in Small Cell Lung Cancer
per: Hong-Yi Zhi, et al.
Publicat: (2021-03-01)

Survey on Graph Neural Networks
per: Georgios Gkarmpounis, et al.
Publicat: (2024-01-01)