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...

Полное описание

Библиографические подробности
Главный автор:	He, Y
Другие авторы:	Dong, X
Формат:	Диссертация
Язык:	English
Опубликовано:	2024
Предметы:	Neural networks (computer science) Deep learning (machine learning) Machine learning Graph theory Social sciences > network analysis

Схожие документы

JGNN: Graph Neural Networks on native Java
по: Emmanouil Krasanakis, и др.
Опубликовано: (2023-07-01)

Auto-GNN: Neural architecture search of graph neural networks
по: Kaixiong Zhou, и др.
Опубликовано: (2022-11-01)

FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction
по: Arnold Kazadi, и др.
Опубликовано: (2024-01-01)

Graph neural networks with a distribution of parametrized graphs
по: Lee, See Hian, и др.
Опубликовано: (2024)

p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks
по: Emmanouil Krasanakis, и др.
Опубликовано: (2022-01-01)

Improved Lipophilicity and Aqueous Solubility Prediction with Composite Graph Neural Networks
по: Oliver Wieder, и др.
Опубликовано: (2021-10-01)

GNNGLY: Graph Neural Networks for Glycan Classification
по: Alhasan Alkuhlani, и др.
Опубликовано: (2023-01-01)

reg-sgc: An open-source software for regularized Simple Graph Convolution
по: Patrick Pho, и др.
Опубликовано: (2023-02-01)

Understanding approximation for Bayesian inference in neural networks
по: Farquhar, S
Опубликовано: (2022)

Survey on graph embeddings and their applications to machine learning problems on graphs
по: Ilya Makarov, и др.
Опубликовано: (2021-02-01)

A graph neural network simulation of dispersed systems
по: Aref Hashemi, и др.
Опубликовано: (2025-01-01)

A Review of Graph Neural Networks and Their Applications in Power Systems
по: Wenlong Liao, и др.
Опубликовано: (2022-01-01)

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

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

Graph neural networks: A review of methods and applications
по: Jie Zhou, и др.
Опубликовано: (2020-01-01)

Graph-Informed Neural Networks for Regressions on Graph-Structured Data
по: Stefano Berrone, и др.
Опубликовано: (2022-03-01)

Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia
по: Gayathri Sunil, и др.
Опубликовано: (2024-01-01)

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

Application of graph neural networks to predict explosion-induced transient flow
по: Ginevra Covoni, и др.
Опубликовано: (2024-09-01)

Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks
по: Juexin Wang, и др.
Опубликовано: (2020-01-01)

The Impact of Global Structural Information in Graph Neural Networks Applications
по: Davide Buffelli, и др.
Опубликовано: (2022-01-01)

Graph neural networks and cross-protocol analysis for detecting malicious IP addresses
по: Yonghong Huang, и др.
Опубликовано: (2022-09-01)

Neural networks and statistical learning /
по: Du, Ke-Lin, author, и др.
Опубликовано: (2014)

GNNkeras: A Keras-based library for Graph Neural Networks and homogeneous and heterogeneous graph processing
по: Niccolò Pancino, и др.
Опубликовано: (2022-06-01)

Enhancement of fault detection at transmitter optical subassembly process using artificial neural network /
по: Anurag Das, 1991- author 633745, и др.
Опубликовано: (2018)

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

Graph Neural Networks: A Bibliometric Mapping of the Research Landscape and Applications
по: Annielle Mendes Brito da Silva, и др.
Опубликовано: (2024-10-01)

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

Understanding convolutional neural networks
по: Fong, R
Опубликовано: (2020)

Scalable algorithms for physics-informed neural and graph networks
по: Khemraj Shukla, и др.
Опубликовано: (2022-01-01)

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

CayleyNets : graph convolutional neural networks with complex rational spectral filters
по: Levie, Ron, и др.
Опубликовано: (2020)

Universality of Büchi Automata: Analysis With Graph Neural Networks
по: Christophe Stammet, и др.
Опубликовано: (2023-01-01)

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

A Comprehensive Survey of Graph Neural Networks for Knowledge Graphs
по: Zi Ye, и др.
Опубликовано: (2022-01-01)

Deep learning for graph structured data
по: Dwivedi Vijay Prakash
Опубликовано: (2024)

An Efficient Optimization Technique for Training Deep Neural Networks
по: Faisal Mehmood, и др.
Опубликовано: (2023-03-01)

Harnessing Graph Neural Networks to Predict International Trade Flows
по: Bassem Sellami, и др.
Опубликовано: (2024-06-01)

A Novel Graph Neural Network Methodology to Investigate Dihydroorotate Dehydrogenase Inhibitors in Small Cell Lung Cancer
по: Hong-Yi Zhi, и др.
Опубликовано: (2021-03-01)

Survey on Graph Neural Networks
по: Georgios Gkarmpounis, и др.
Опубликовано: (2024-01-01)