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The core decomposition of networks: theory, algorithms and applications

The VLDB journal, 2020-01, Vol.29 (1), p.61-92

2020

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BRANEnet: embedding multilayer networks for omics data integration

BMC bioinformatics, 2022-10, Vol.23 (1), p.1-429, Article 429

2022

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Clustering and community detection in directed networks: A survey

Physics reports, 2013-12, Vol.533 (4), p.95-142

2013

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MATI: An efficient algorithm for influence maximization in social networks

PloS one, 2018-11, Vol.13 (11), p.e0206318-e0206318

2018

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Multi-Task Learning for Influence Estimation and Maximization

IEEE transactions on knowledge and data engineering, 2022-09, Vol.34 (9), p.4398-4409

2022

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Locating influential nodes in complex networks

Scientific reports, 2016-01, Vol.6 (1), p.19307-19307, Article 19307

2016

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Multiple Kernel Representation Learning on Networks

IEEE transactions on knowledge and data engineering, 2023-06, Vol.35 (6), p.6113-6125

2023

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Topic-aware latent models for representation learning on networks

Pattern recognition letters, 2021-04, Vol.144, p.89-96

2021

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Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction

IEEE transaction on neural networks and learning systems, 2024-09, Vol.35 (9), p.11734-11745

2024

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Multiple similarity drug–target interaction prediction with random walks and matrix factorization

Briefings in bioinformatics, 2022-09, Vol.23 (5)

2022

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BraneMF: integration of biological networks for functional analysis of proteins

Bioinformatics (Oxford, England), 2022-12, Vol.38 (24), p.5383-5389

2022

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Learning graph representations for influence maximization

Social Network Analysis and Mining, 2024-10, Vol.14 (1), p.203, Article 203

2024

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k-Degree anonymity on directed networks

Knowledge and information systems, 2019-12, Vol.61 (3), p.1743-1768

2019

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Estimating robustness in large social graphs

Knowledge and information systems, 2015-12, Vol.45 (3), p.645-678

2015

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Vulnerability assessment in social networks under cascade-based node departures

Europhysics letters, 2015-06, Vol.110 (6), p.68006-p1-68006-p6

2015

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Higher-Order Sparse Convolutions in Graph Neural Networks

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Multivariate Lipschitz Analysis of the Stability of Neural Networks

Frontiers in signal processing (Lausanne), 2022-04, Vol.2

2022

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Time-Varying Signals Recovery Via Graph Neural Networks

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Semi-supervised learning and graph neural networks for fake news detection

2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019, p.568-569

2019

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Maximizing Influence with Graph Neural Networks

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023, p.237-244

2023

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GraphSVX: Shapley Value Explanations for Graph Neural Networks

Machine Learning and Knowledge Discovery in Databases. Research Track, p.302-318

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Graph Neural Networks for source localization using Ships-of-Opportunity spectrograms

The Journal of the Acoustical Society of America, 2023-10, Vol.154 (4_supplement), p.A305-A305

2023

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Estimation of a causal directed acyclic graph process using non-gaussianity

Digital signal processing, 2024-03, Vol.146, p.104400, Article 104400

2024

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Graph-based term weighting for text categorization

2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2015, p.1473-1479

2015

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NodeSig: Binary Node Embeddings via Random Walk Diffusion

2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2022, p.68-75

2022

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The core decomposition of networks: theory, algorithms and applications

BRANEnet: embedding multilayer networks for omics data integration

Clustering and community detection in directed networks: A survey

MATI: An efficient algorithm for influence maximization in social networks

Multi-Task Learning for Influence Estimation and Maximization

Locating influential nodes in complex networks

Multiple Kernel Representation Learning on Networks

Topic-aware latent models for representation learning on networks

Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction

Multiple similarity drug–target interaction prediction with random walks and matrix factorization

BraneMF: integration of biological networks for functional analysis of proteins

Learning graph representations for influence maximization

k-Degree anonymity on directed networks

Estimating robustness in large social graphs

Vulnerability assessment in social networks under cascade-based node departures

Higher-Order Sparse Convolutions in Graph Neural Networks

Multivariate Lipschitz Analysis of the Stability of Neural Networks

Time-Varying Signals Recovery Via Graph Neural Networks

Semi-supervised learning and graph neural networks for fake news detection

Maximizing Influence with Graph Neural Networks

GraphSVX: Shapley Value Explanations for Graph Neural Networks

Graph Neural Networks for source localization using Ships-of-Opportunity spectrograms

Estimation of a causal directed acyclic graph process using non-gaussianity

Graph-based term weighting for text categorization

NodeSig: Binary Node Embeddings via Random Walk Diffusion

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