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	Pour les 42 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		Kernel Node Embeddings Abdulkadir Çelikkanat , Fragkiskos Malliaros GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Nov 2019, Ottawa, Canada Communication dans un congrès hal-02423629v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Maximizing Influence with Graph Neural Networks George Panagopoulos , Nikolaos Tziortziotis , Michalis Vazirgiannis , Fragkiskos D Malliaros ASONAM 2023 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Nov 2023, Kusadasi, Turkey Communication dans un congrès hal-04368762v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		k-Degree anonymity on directed networks Jordi Casas-Roma , Julián Salas , Fragkiskos Malliaros , Michalis Vazirgiannis Knowledge and Information Systems (KAIS), 2018, 61, pp.1743-1768. ⟨10.1007/s10115-018-1251-5⟩ Article dans une revue hal-01950285v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems Alexandre Duval , Simon V Mathis , Chaitanya K Joshi , Victor Schmidt , Santiago Miret , et al. 2024 Pré-publication, Document de travail hal-04409413v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		NetGloVe: Learning Node Representations for Community Detection Kumaran Gunasekaran , Jeyavaishnavi Muralikumar , Srinivasa Sudarshan , Balasubramaniam Srinivasan , Fragkiskos Malliaros 6th International Conference on Complex Networks and Their Applications, Nov 2017, Lyon, France Communication dans un congrès hal-01672969v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Multi-task Learning for Influence Estimation and Maximization George Panagopoulos , Fragkiskos D. Malliaros , Michalis Vazirgiannis IEEE Transactions on Knowledge and Data Engineering, 2020, ⟨10.1109/TKDE.2020.3040028⟩ Article dans une revue hal-03088930v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		BRANet: Graph-based Integration of Multi-omics Data with Biological a priori for Regulatory Network Inference Surabhi Jagtap , Aurélie Pirayre , Frederique Bidard , Laurent Duval , Fragkiskos D. Malliaros 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB), Nov 2021, Online, Italy Communication dans un congrès hal-03425420v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs Michalis Vazirgiannis , Fragkiskos Malliaros , Giannis Nikolentzos 27th ACM International Conference on Information and Knowledge Management (CIKM), Oct 2018, Torino, Italy. pp.2295-2296, ⟨10.1145/3269206.3274273⟩ Communication dans un congrès hal-01958927v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		NodeSig: Binary Node Embeddings via Random Walk Diffusion Abdulkadir Çelikkanat , Fragkiskos D. Malliaros , Apostolos N Papadopoulos ASONAM 2022 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Nov 2022, Istanbul, Turkey Communication dans un congrès hal-03910835v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Multivariate Lipschitz Analysis of the Stability of Neural Networks Kavya Gupta , Fateh Kaakai , Beatrice Pesquet-Popescu , Jean-Christophe Pesquet , Fragkiskos D. Malliaros Frontiers in Signal Processing, In press, ⟨10.3389/frsip.2022.794469⟩ Article dans une revue hal-03621112v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		DiffuGreedy: An Influence Maximization Algorithm based on Diffusion Cascades George Panagopoulos , Fragkiskos Malliaros , Michalis Vazirgiannis The 7th International Conference on Complex Networks and Their Applications (Complex Networks), Dec 2018, Cambridge, United Kingdom Communication dans un congrès hal-01958915v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		CORECLUSTER: A Degeneracy Based Graph Clustering Framework Christos Giatsidis , Fragkiskos Malliaros , Dimitrios M. Thilikos , Michalis Vazirgiannis IAAA: Innovative Applications of Artificial Intelligence, Jul 2014, Quebec City, Canada Communication dans un congrès lirmm-01083536v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Multiple similarity drug–target interaction prediction with random walks and matrix factorization Bin Liu , Dimitrios Papadopoulos , Fragkiskos D. Malliaros , Grigorios Tsoumakas , Apostolos Papadopoulos Briefings in Bioinformatics, 2022, 23 (5), ⟨10.1093/bib/bbac353⟩ Article dans une revue hal-03910803v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Semi-Supervised Learning and Graph Neural Networks for Fake News Detection Adrien Benamira , Benjamin Devillers , Etienne Lesot , Ayush K. Ray , Manal Saadi , et al. ASONAM 2019 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2019, Vancouver, Canada Communication dans un congrès hal-02334445v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		BraneMF : integration of biological networks for functional analysis of proteins Surabhi Jagtap , Abdulkadir Çelikkanat , Aurélie Pirayre , Frédérique Bidard , Laurent Duval , et al. Bioinformatics, 2022, 38 (24), pp.5383-5389. ⟨10.1093/bioinformatics/btac691⟩ Article dans une revue hal-03941785v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		GraphSVX: Shapley Value Explanations for Graph Neural Networks Alexandre Duval , Fragkiskos D. Malliaros European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), Sep 2021, Bilbao, Spain Communication dans un congrès hal-03539183v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The Core Decomposition of Networks: Theory, Algorithms and Applications Fragkiskos Malliaros , Christos Giatsidis , Apostolos N Papadopoulos , Michalis Vazirgiannis The VLDB Journal, 2019 Article dans une revue hal-01986309v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		MATI: An efficient algorithm for influence maximization in social networks Maria Evgenia G. Rossi , Bowen Shi , Nikolaos Tziortziotis , Fragkiskos Malliaros , Christos Giatsidis , et al. PLoS ONE, 2018, ⟨10.1371/journal.pone.0206318⟩ Article dans une revue hal-01950273v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		An Adversarial Attacker for Neural Networks in Regression Problems Kavya Gupta , Beatrice Pesquet-Popescu , Fateh Kaakai , Jean-Christophe Pesquet , Fragkiskos D. Malliaros IJCAI Workshop on Artificial Intelligence Safety (AI Safety), Aug 2021, Montreal/Virtual, Canada Communication dans un congrès hal-03527640v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Influence Learning and Maximization George Panagopoulos , Fragkiskos D. Malliaros 21st International Conference on Web Engineering (ICWE), May 2021, Biarritz, France Communication dans un congrès hal-03539200v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Core Decomposition of Uncertain Graphs Using Representative Instances Damien Seux , Fragkiskos Malliaros , Apostolos N Papadopoulos , Michalis Vazirgiannis 6th International Conference on Complex Networks and Their Applications, Nov 2017, Lyon, France Communication dans un congrès hal-01672968v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Dynamic monitoring of software use with recurrent neural networks Chloé Adam , Antoine Aliotti , Fragkiskos Malliaros , Paul-Henry Cournède Data and Knowledge Engineering, 2020, 125, pp.101781. ⟨10.1016/j.datak.2019.101781⟩ Article dans une revue hal-02520120v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Exponential Family Graph Embeddings Abdulkadir Çelikkanat , Fragkiskos D. Malliaros AAAI 2020 - Thirty-Fourth AAAI Conference on Artificial Intelligence, Feb 2020, New York, United States Communication dans un congrès hal-03088917v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Learning Node Embeddings with Exponential Family Distributions Abdulkadir Çelikkanat , Fragkiskos Malliaros NeurIPS 2019 - 33th Annual Conference on Neural Information Processing Systems - Workshop on Graph Representation Learning, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02336000v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Time-varying Signals Recovery via Graph Neural Networks John A Castro-Correa , Jhony H Giraldo , Anindya Mondal , Mohsen Badiey , Thierry Bouwmans , et al. ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10096168⟩ Communication dans un congrès hal-04368767v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction Jhon Castro-Correa , Jhony Giraldo , Mohsen Badiey , Fragkiskos D. Malliaros IEEE Transactions on Neural Networks and Learning Systems, 2024, ⟨10.1109/TNNLS.2024.3381069⟩ Article dans une revue hal-04541700v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		BiasedWalk: Biased Sampling for Representation Learning on Graphs Duong Nguyen , Fragkiskos Malliaros International Workshop on High Performance Big Graph Data Management, Analysis, and Mining (BigGraphs), Dec 2018, Seattle, WA, United States. ⟨10.1109/bigdata.2018.8621872⟩ Communication dans un congrès hal-01958902v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Boosting Tricks for Word Mover's Distance Konstantinos Skianis , Fragkiskos D. Malliaros , Nikolaos Tziortziotis , Michalis Vazirgiannis ICANN 2020 - 29th International Conference on Artificial Neural Networks, Sep 2020, Bratislava, Slovakia Communication dans un congrès hal-03088924v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Perturb and Combine to Identify Influential Spreaders in Real-World Networks Antoine Jean-Pierre Tixier , Maria Evgenia G. Rossi , Fragkiskos Malliaros , Jesse Read , Michalis Vazirgiannis ASONAM 2019 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2019, Vancouver, Canada Communication dans un congrès hal-01958973v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		BRANEnet : embedding multilayer networks for omics data integration Surabhi Jagtap , Aurélie Pirayre , Frédérique Bidard , Laurent Duval , Fragkiskos Malliaros BMC Bioinformatics, 2022, 23, pp.429. ⟨10.1186/s12859-022-04955-w⟩ Article dans une revue hal-03846890v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Kernel Node Embeddings

Maximizing Influence with Graph Neural Networks

k-Degree anonymity on directed networks

A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems

NetGloVe: Learning Node Representations for Community Detection

Multi-task Learning for Influence Estimation and Maximization

BRANet: Graph-based Integration of Multi-omics Data with Biological a priori for Regulatory Network Inference

GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs

NodeSig: Binary Node Embeddings via Random Walk Diffusion

Multivariate Lipschitz Analysis of the Stability of Neural Networks

DiffuGreedy: An Influence Maximization Algorithm based on Diffusion Cascades

CORECLUSTER: A Degeneracy Based Graph Clustering Framework

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

Semi-Supervised Learning and Graph Neural Networks for Fake News Detection

BraneMF : integration of biological networks for functional analysis of proteins

GraphSVX: Shapley Value Explanations for Graph Neural Networks

The Core Decomposition of Networks: Theory, Algorithms and Applications

MATI: An efficient algorithm for influence maximization in social networks

An Adversarial Attacker for Neural Networks in Regression Problems

Influence Learning and Maximization

Core Decomposition of Uncertain Graphs Using Representative Instances

Dynamic monitoring of software use with recurrent neural networks

Exponential Family Graph Embeddings

Learning Node Embeddings with Exponential Family Distributions

Time-varying Signals Recovery via Graph Neural Networks

Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction

BiasedWalk: Biased Sampling for Representation Learning on Graphs

Boosting Tricks for Word Mover's Distance

Perturb and Combine to Identify Influential Spreaders in Real-World Networks

BRANEnet : embedding multilayer networks for omics data integration