Fragkiskos D. Malliaros

Most-cited papers

Clustering and Community Detection in Directed Networks: A Survey
Fragkiskos D. Malliaros, M. Vazirgiannis
2013arXiv.org736 citations Open access
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The core decomposition of networks: theory, algorithms and applications
Fragkiskos D. Malliaros, C. Giatsidis, A. Papadopoulos, M. Vazirgiannis
2019The VLDB journal185 citations Open access
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Locating influential nodes in complex networks
Fragkiskos D. Malliaros, Maria-Evgenia G. Rossi, M. Vazirgiannis
2016Scientific Reports154 citations Open access
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GraphSVX: Shapley Value Explanations for Graph Neural Networks
Alexandre Duval, Fragkiskos D. Malliaros
2021ECML/PKDD146 citations Open access
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A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
Alexandre Duval, Simon V. Mathis, Chaitanya K. Joshi, Victor Schmidt +6 more
2023arXiv.org125 citations
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On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks
Jhony H. Giraldo, Konstantinos Skianis, T. Bouwmans, Fragkiskos D. Malliaros
2022International Conference on Information and Knowledge Management117 citations Open access
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Semi-Supervised Learning and Graph Neural Networks for Fake News Detection
Adrien Benamira, Benjamin Devillers, Etienne Lesot, Ayush K. Ray +2 more
2019International Conference on Advances in Social Networks Analysis and Mining112 citations Open access
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FAENet: Frame Averaging Equivariant GNN for Materials Modeling
Alexandre Duval, Victor Schmidt, Alex Hernandez-Garcia, Santiago Miret +3 more
2023International Conference on Machine Learning105 citations Open access
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To stay or not to stay: modeling engagement dynamics in social graphs
Fragkiskos D. Malliaros, M. Vazirgiannis
2013International Conference on Information and Knowledge Management85 citations
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A Graph Degeneracy-based Approach to Keyword Extraction
A. Tixier, Fragkiskos D. Malliaros, M. Vazirgiannis
2016Conference on Empirical Methods in Natural Language Processing82 citations Open access
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CoreCluster: A Degeneracy Based Graph Clustering Framework
C. Giatsidis, Fragkiskos D. Malliaros, D. Thilikos, M. Vazirgiannis
2014AAAI Conference on Artificial Intelligence66 citations Open access
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Higher-order Clustering and Pooling for Graph Neural Networks
Alexandre Duval, Fragkiskos D. Malliaros
2022International Conference on Information and Knowledge Management59 citations Open access
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Graph-based term weighting for text categorization
Fragkiskos D. Malliaros, Konstantinos Skianis
2015International Conference on Advances in Social Networks Analysis and Mining56 citations
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Multi-Task Learning for Influence Estimation and Maximization
G. Panagopoulos, Fragkiskos D. Malliaros, M. Vazirgiannis
2020IEEE Transactions on Knowledge and Data Engineering51 citations Open access
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Fast Robustness Estimation in Large Social Graphs: Communities and Anomaly Detection
Fragkiskos D. Malliaros, V. Megalooikonomou, C. Faloutsos
2012SDM44 citations
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Spread it Good, Spread it Fast: Identification of Influential Nodes in Social Networks
Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, M. Vazirgiannis
2015The Web Conference43 citations
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Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
Daniele Malitesta, Emanuele Rossi, Claudio Pomo, T. D. Noia +1 more
2024International Conference on Information and Knowledge Management40 citations Open access
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Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction
Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen Badiey, Fragkiskos D. Malliaros
2024IEEE Transactions on Neural Networks and Learning Systems37 citations Open access
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Cometh: A continuous-time discrete-state graph diffusion model
Antoine Siraudin, Fragkiskos D. Malliaros, Christopher Morris
2024Trans. Mach. Learn. Res.32 citations
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Maximizing Influence with Graph Neural Networks
G. Panagopoulos, Nikolaos Tziortziotis, M. Vazirgiannis, Fragkiskos D. Malliaros
2021International Conference on Advances in Social Networks Analysis and Mining31 citations Open access
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An Adversarial Attacker for Neural Networks in Regression Problems
Kavya Gupta, Jean-Christophe Pesquet, B. Pesquet-Popescu, F. Kaakai +1 more
2021AISafety@IJCAI26 citations
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Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text Classification
Konstantinos Skianis, Fragkiskos D. Malliaros, M. Vazirgiannis
2018TextGraphs@NAACL-HLT26 citations Open access
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k-Degree anonymity on directed networks
Jordi Casas-Roma, Julián Salas, Fragkiskos D. Malliaros, M. Vazirgiannis
2018Knowledge and Information Systems24 citations
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Influence Maximization Using Influence and Susceptibility Embeddings
G. Panagopoulos, Fragkiskos D. Malliaros, M. Vazirgiannis
2020International Conference on Web and Social Media23 citations Open access
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MATI: An efficient algorithm for influence maximization in social networks
Maria-Evgenia G. Rossi, Bo-Wen Shi, Nikolaos Tziortziotis, Fragkiskos D. Malliaros +2 more
2017PLoS ONE22 citations Open access
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The Factuality of Large Language Models in the Legal Domain
Rajaa El Hamdani, Thomas Bonald, Fragkiskos D. Malliaros, Nils Holzenberger +1 more
2024International Conference on Information and Knowledge Management21 citations Open access
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BiasedWalk: Biased Sampling for Representation Learning on Graphs
Duong Nguyen, Fragkiskos D. Malliaros
20182018 IEEE International Conference on Big Data (Big Data)18 citations Open access
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BRANEnet: embedding multilayer networks for omics data integration
Surabhi Jagtap, Aurélie Pirayre, F. Bidard, L. Duval +1 more
2022BMC Bioinformatics16 citations Open access
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Time-Varying Signals Recovery Via Graph Neural Networks
Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal, M. Badiey +2 more
2023IEEE International Conference on Acoustics, Speech, and Signal Processing15 citations Open access
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GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs
M. Vazirgiannis, Fragkiskos D. Malliaros, Giannis Nikolentzos
2018International Conference on Information and Knowledge Management15 citations Open access
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Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization
B. Liu, D. Papadopoulos, Fragkiskos D. Malliaros, Grigorios Tsoumakas +1 more
2022Briefings Bioinform.14 citations Open access
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Multivariate Lipschitz Analysis of the Stability of Neural Networks
Kavya Gupta, F. Kaakai, B. Pesquet-Popescu, Jean-Christophe Pesquet +1 more
2022Frontiers in Signal Processing13 citations Open access
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Learning graph representations for influence maximization
G. Panagopoulos, Nikolaos Tziortziotis, M. Vazirgiannis, Jun Pang +1 more
2024Social Network Analysis and Mining12 citations Open access
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Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach
Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Fragkiskos D. Malliaros +1 more
2024arXiv.org12 citations
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Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey
Hugo Attali, Nathalie Pernelle, Davide Buscaldi, Fragkiskos D. Malliaros
2024Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence12 citations
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Continuous Product Graph Neural Networks
Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo
2024Neural Information Processing Systems12 citations
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Exponential Family Graph Embeddings
Abdulkadir Çelikkanat, Fragkiskos D. Malliaros
2019AAAI Conference on Artificial Intelligence12 citations Open access
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Advanced graph mining for community evaluation in social networks and the web
C. Giatsidis, Fragkiskos D. Malliaros, M. Vazirgiannis
2013Web Search and Data Mining12 citations
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Multiple Kernel Representation Learning on Networks
Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros
2021IEEE Transactions on Knowledge and Data Engineering11 citations Open access
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Core Decomposition in Graphs: Concepts, Algorithms and Applications
Fragkiskos D. Malliaros, A. Papadopoulos, M. Vazirgiannis
2016International Conference on Extending Database Technology11 citations
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Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation
Yassine Abbahaddou, Fragkiskos D. Malliaros, J. Lutzeyer, A. M. Aboussalah +1 more
2024International Conference on Machine Learning10 citations
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DiffuGreedy: An Influence Maximization Algorithm Based on Diffusion Cascades
G. Panagopoulos, Fragkiskos D. Malliaros, M. Vazirgiannis
2018International Workshop on Complex Networks & Their Applications10 citations Open access
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NodeSig: Binary Node Embeddings via Random Walk Diffusion
Abdulkadir Çelikkanat, Fragkiskos D. Malliaros, A. Papadopoulos
2020International Conference on Advances in Social Networks Analysis and Mining9 citations
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Graph-based Text Representations: Boosting Text Mining, NLP and Information Retrieval with Graphs
Fragkiskos D. Malliaros, M. Vazirgiannis
2017Conference on Empirical Methods in Natural Language Processing9 citations
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Training-Free Graph-Based Imputation of Missing Modalities in Multimodal Recommendation
Daniele Malitesta, Emanuele Rossi, Claudio Pomo, T. D. Noia +1 more
2026IEEE Transactions on Knowledge and Data Engineering8 citations
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Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks
Jhony H. Giraldo, Aref Einizade, Andjela Todorovic, J. Castro-Correa +3 more
2024IEEE Transactions on Signal and Information Processing over Networks8 citations Open access
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How Fair is Your Diffusion Recommender Model?
Daniele Malitesta, G. Medda, Erasmo Purificato, Mirko Marras +2 more
2024ACM Conference on Recommender Systems8 citations
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Perturb and Combine to Identify Influential Spreaders in Real-World Networks
A. Tixier, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Jesse Read +1 more
2018International Conference on Advances in Social Networks Analysis and Mining8 citations Open access
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A k-core Decomposition Framework for Graph Clustering
C. Giatsidis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, C. Dhanjal +3 more
2016arXiv.org8 citations
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Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
Hugo Attali, Thomas Papastergiou, Nathalie Pernelle, Fragkiskos D. Malliaros
2025International Conference on Information and Knowledge Management6 citations Open access
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