Fragkiskos D. Malliaros
Fragkiskos D. Malliaros
Associate Professor, CentraleSupélec, Université Paris-Saclay
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Cited by
Cited by
Clustering and community detection in directed networks: A survey
FD Malliaros, M Vazirgiannis
Physics reports 533 (4), 95-142, 2013
Locating influential nodes in complex networks
FD Malliaros, MEG Rossi, M Vazirgiannis
Scientific reports 6 (1), 19307, 2016
The Core Decomposition of Networks: Theory, Algorithms and Applications
F Malliaros, C Giatsidis, A Papadopoulos, M Vazirgiannis
The VLDB Journal, 2020
Semi-Supervised Learning and Graph Neural Networks for Fake News Detection
A Benamira, B Devillers, E Lesot, AK Ray, M Saadi, FD Malliaros
ASONAM, 2019
A Graph Degeneracy-based Approach to Keyword Extraction
AJP Tixier, FD Malliaros, M Vazirgiannis
EMNLP, 2016
To stay or not to stay: modeling engagement dynamics in social graphs
FD Malliaros, M Vazirgiannis
Proceedings of the 22nd ACM international conference on Information …, 2013
Graphsvx: Shapley value explanations for graph neural networks
A Duval, FD Malliaros
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
Graph-Based Term Weighting for Text Categorization
FD Malliaros, K Skianis
Proceedings of the social media and risk (SoMeRis), ASONAM 2015 workshop. 15, 98, 2015
CoreCluster: A degeneracy based graph clustering framework
C Giatsidis, F Malliaros, DM Thilikos, M Vazirgiannis
AAAI Conference on Artificial Intelligence, 2014
Fast robustness estimation in large social graphs: Communities and anomaly detection
FD Malliaros, V Megalooikonomou, C Faloutsos
Proceedings of the 2012 SIAM International Conference on Data Mining, 942-953, 2012
Spread it good, spread it fast: Identification of influential nodes in social networks
MEG Rossi, FD Malliaros, M Vazirgiannis
Proceedings of the 24th International Conference on World Wide Web, 101-102, 2015
Multi-task Learning for Influence Estimation and Maximization
G Panagopoulos, FD Malliaros, M Vazirgiannis
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Higher-order clustering and pooling for graph neural networks
A Duval, F Malliaros
Proceedings of the 31st ACM international conference on information …, 2022
Faenet: Frame averaging equivariant gnn for materials modeling
AA Duval, V Schmidt, A Hernández-Garcıa, S Miret, FD Malliaros, ...
International Conference on Machine Learning, 9013-9033, 2023
Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text Classification
K Skianis, F Malliaros, M Vazirgiannis
Proceedings of the Twelfth NAACL Workshop on Graph-Based Methods for Natural …, 2018
Estimating robustness in large social graphs
FD Malliaros, V Megalooikonomou, C Faloutsos
Knowledge and Information Systems 45, 645-678, 2015
BiasedWalk: Biased sampling for representation learning on graphs
D Nguyen, FD Malliaros
2018 IEEE International Conference on Big Data (Big Data), 4045-4053, 2018
A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
A Duval, SV Mathis, CK Joshi, V Schmidt, S Miret, FD Malliaros, T Cohen, ...
arXiv preprint arXiv:2312.07511, 2023
An adversarial attacker for neural networks in regression problems
K Gupta, B Pesquet-Popescu, F Kaakai, JC Pesquet, FD Malliaros
IJCAI Workshop on Artificial Intelligence Safety (AI Safety), 2021
k-Degree anonymity on directed networks
J Casas-Roma, J Salas, FD Malliaros, M Vazirgiannis
Knowledge and Information Systems, 1-26, 2018
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