Fragkiskos D. Malliaros

According to our database, Fragkiskos D. Malliaros authored at least 57 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Aref Einizade, Jhony H. Giraldo, Fragkiskos D. Malliaros, Sepideh Hajipour Sardouie

Digit. Signal Process., 2024

Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach.

Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Fragkiskos D. Malliaros, Tommaso Di Noia

CoRR, 2024

Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction.

Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen Badiey, Fragkiskos D. Malliaros

CoRR, 2024

Graph Neural Networks for Treatment Effect Prediction.

George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang

CoRR, 2024

2023

Multiple Kernel Representation Learning on Networks.

Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros

IEEE Trans. Knowl. Data Eng., June, 2023

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

Alexandre Duval, Simon V. Mathis, Chaitanya K. Joshi, Victor Schmidt, Santiago Miret, Fragkiskos D. Malliaros, Taco Cohen, Pietro Lio, Yoshua Bengio, Michael M. Bronstein

CoRR, 2023

FAENet: Frame Averaging Equivariant GNN for Materials Modeling.

Alexandre Duval, Victor Schmidt, Alex Hernández-García, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick

Proceedings of the International Conference on Machine Learning, 2023

Higher-Order Sparse Convolutions in Graph Neural Networks.

Jhony H. Giraldo, Sajid Javed, Arif Mahmood, Fragkiskos D. Malliaros, Thierry Bouwmans

Proceedings of the IEEE International Conference on Acoustics, 2023

Time-Varying Signals Recovery Via Graph Neural Networks.

Jhon A. Castro-Correa, Jhony H. Giraldo, Anindya Mondal, Mohsen Badiey, Thierry Bouwmans, Fragkiskos D. Malliaros

Proceedings of the IEEE International Conference on Acoustics, 2023

On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks.

Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans, Fragkiskos D. Malliaros

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Maximizing Influence with Graph Neural Networks.

George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Fragkiskos D. Malliaros

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

BraneMF: integration of biological networks for functional analysis of proteins.

Surabhi Jagtap, Abdulkadir Çelikkanat, Aurélie Pirayre, Frédérique Bidard, Laurent Duval, Fragkiskos D. Malliaros

Bioinform., December, 2022

Multi-Task Learning for Influence Estimation and Maximization.

George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis

IEEE Trans. Knowl. Data Eng., 2022

Understanding the Relationship between Over-smoothing and Over-squashing in Graph Neural Networks.

Jhony H. Giraldo, Fragkiskos D. Malliaros, Thierry Bouwmans

CoRR, 2022

BRANEnet: embedding multilayer networks for omics data integration.

Surabhi Jagtap, Aurélie Pirayre, Frédérique Bidard, Laurent Duval, Fragkiskos D. Malliaros

BMC Bioinform., 2022

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

Bin Liu, Dimitrios Papadopoulos, Fragkiskos D. Malliaros, Grigorios Tsoumakas, Apostolos N. Papadopoulos

Briefings Bioinform., 2022

Higher-order Clustering and Pooling for Graph Neural Networks.

Alexandre Duval, Fragkiskos D. Malliaros

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

NodeSig: Binary Node Embeddings via Random Walk Diffusion.

Abdulkadir Çelikkanat, Fragkiskos D. Malliaros, Apostolos N. Papadopoulos

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Topic-aware latent models for representation learning on networks.

Abdulkadir Çelikkanat, Fragkiskos D. Malliaros

Pattern Recognit. Lett., 2021

Learning to Maximize Influence.

George Panagopoulos, Nikolaos Tziortziotis, Fragkiskos D. Malliaros, Michalis Vazirgiannis

CoRR, 2021

GraphSVX: Shapley Value Explanations for Graph Neural Networks.

Alexandre Duval, Fragkiskos D. Malliaros

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

An Adversarial Attacker for Neural Networks in Regression Problems.

Kavya Gupta, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu, Fateh Kaakai, Fragkiskos D. Malliaros

Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021

Influence Learning and Maximization.

George Panagopoulos, Fragkiskos D. Malliaros

Proceedings of the Web Engineering - 21st International Conference, 2021

Multiomics Data Integration for Gene Regulatory Network Inference with Exponential Family Embeddings.

Surabhi Jaatan, Abdulkadir Çelikkanat, Aurelic Piravre, Frédérique Bidard, Laurent Duval, Fragkiskos D. Malliaros

Proceedings of the 29th European Signal Processing Conference, 2021

2020

The core decomposition of networks: theory, algorithms and applications.

Fragkiskos D. Malliaros, Christos Giatsidis, Apostolos N. Papadopoulos, Michalis Vazirgiannis

VLDB J., 2020

Dynamic monitoring of software use with recurrent neural networks.

Chloé Adam, Antoine Aliotti, Fragkiskos D. Malliaros, Paul-Henry Cournède

Data Knowl. Eng., 2020

NodeSig: Random Walk Diffusion meets Hashing for Scalable Graph Embeddings.

Abdulkadir Çelikkanat, Apostolos N. Papadopoulos, Fragkiskos D. Malliaros

CoRR, 2020

Influence Maximization Using Influence and Susceptibility Embeddings.

George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Boosting Tricks for Word Mover's Distance.

Konstantinos Skianis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Michalis Vazirgiannis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Exponential Family Graph Embeddings.

Abdulkadir Çelikkanat, Fragkiskos D. Malliaros

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

k-Degree anonymity on directed networks.

Jordi Casas-Roma, Julián Salas, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Knowl. Inf. Syst., 2019

Influence Maximization via Representation Learning.

George Panagopoulos, Michalis Vazirgiannis, Fragkiskos D. Malliaros

CoRR, 2019

Kernel Node Embeddings.

Abdulkadir Çelikkanat, Fragkiskos D. Malliaros

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Perturb and combine to identify influential spreaders in real-world networks.

Antoine J.-P. Tixier, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Jesse Read, Michalis Vazirgiannis

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

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

Adrien Benamira, Benjamin Devillers, Etienne Lesot, Ayush K. Ray, Manal Saadi, Fragkiskos D. Malliaros

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

TNE: A Latent Model for Representation Learning on Networks.

Abdulkadir Çelikkanat, Fragkiskos D. Malliaros

CoRR, 2018

BigNet 2018 Chairs' Welcome & Organization.

Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text Classification.

Konstantinos Skianis, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing, 2018

DiffuGreedy: An Influence Maximization Algorithm Based on Diffusion Cascades.

George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Proceedings of the Complex Networks and Their Applications VII, 2018

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

Michalis Vazirgiannis, Fragkiskos D. Malliaros, Giannis Nikolentzos

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

BiasedWalk: Biased Sampling for Representation Learning on Graphs.

Duong Nguyen, Fragkiskos D. Malliaros

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Sensitivity of Community Structure to Network Uncertainty.

Marc Mitri, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

2016

A k-core Decomposition Framework for Graph Clustering.

Christos Giatsidis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Charanpal Dhanjal, Emmanouil Kiagias, Dimitrios M. Thilikos, Michalis Vazirgiannis

CoRR, 2016

SpreadViz: Analytics and Visualization of Spreading Processes in Social Networks.

Konstantinos Skianis, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Graph Degeneracy-based Approach to Keyword Extraction.

Antoine J.-P. Tixier, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Core Decomposition in Graphs: Concepts, Algorithms and Applications.

Fragkiskos D. Malliaros, Apostolos N. Papadopoulos, Michalis Vazirgiannis

Proceedings of the 19th International Conference on Extending Database Technology, 2016

2015

Mining Social and Information Networks: Dynamics and Applications. (Fouille de Données dans les Réseaux Sociaux et d'Information : Dynamiques et Applications ).

Fragkiskos D. Malliaros

PhD thesis, 2015

Estimating robustness in large social graphs.

Fragkiskos D. Malliaros, Vasileios Megalooikonomou, Christos Faloutsos

Knowl. Inf. Syst., 2015

Spread it Good, Spread it Fast: Identification of Influential Nodes in Social Networks.

Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Graph-Based Term Weighting for Text Categorization.

Fragkiskos D. Malliaros, Konstantinos Skianis

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

CoreCluster: A Degeneracy Based Graph Clustering Framework.

Christos Giatsidis, Fragkiskos D. Malliaros, Dimitrios M. Thilikos, Michalis Vazirgiannis

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Clustering and Community Detection in Directed Networks: A Survey.

Fragkiskos D. Malliaros, Michalis Vazirgiannis

CoRR, 2013

Advanced graph mining for community evaluation in social networks and the web.

Christos Giatsidis, Fragkiskos D. Malliaros, Michalis Vazirgiannis

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Multiresolution similarity search in time series data: an application to EEG signals.

Amalia Charisi, Fragkiskos D. Malliaros, Evangelia I. Zacharaki, Vasileios Megalooikonomou

Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013

To stay or not to stay: modeling engagement dynamics in social graphs.

Fragkiskos D. Malliaros, Michalis Vazirgiannis

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Fast Robustness Estimation in Large Social Graphs: Communities and Anomaly Detection.

Fragkiskos D. Malliaros, Vasileios Megalooikonomou, Christos Faloutsos

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2011

Expansion Properties of Large Social Graphs.

Fragkiskos D. Malliaros, Vasileios Megalooikonomou

Proceedings of the Database Systems for Adanced Applications, 2011