Pedro Ribeiro

Int. J. Data Sci. Anal., September, 2025

Studying and Improving Graph Neural Network-based Motif Estimation.

[BibT_eX]

[DOI]

Pedro C. Vieira

Miguel E. P. Silva

CoRR, June, 2025

Multilayer horizontal visibility graphs for multivariate time series analysis.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2025

Evaluating Transfer Learning Methods on Real-World Data Streams: A Case Study in Financial Fraud Detection.

[BibT_eX]

[DOI]

Ricardo Ribeiro Pereira

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2025

2024

Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs.

[BibT_eX]

[DOI]

Ahmad Naser Eddin

Jacopo Bono

Hugo Ferreira

Pedro Bizarro

Trans. Mach. Learn. Res., 2024

2023

MHVG2MTS: Multilayer Horizontal Visibility Graphs for Multivariate Time Series Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

The GANfather: Controllable generation of malicious activity to improve defence systems.

[BibT_eX]

[DOI]

Ricardo Ribeiro Pereira

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

Novel features for time series analysis: a complex networks approach.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2022

A Survey on Subgraph Counting: Concepts, Algorithms, and Applications to Network Motifs and Graphlets.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2022

Towards the Concept of Spatial Network Motifs.

[BibT_eX]

[DOI]

José Ferreira

Alberto Barbosa

Proceedings of the Complex Networks and Their Applications XI, 2022

Improving the Characterization and Comparison of Football Players with Spatial Flow Motifs.

[BibT_eX]

[DOI]

Alberto Barbosa

Inês Dutra

Proceedings of the Complex Networks and Their Applications XI, 2022

2021

Time series analysis via network science: Concepts and algorithms.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2021

Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Similarity of Football Players Using Passing Sequences.

[BibT_eX]

[DOI]

Alberto Barbosa

Inês Dutra

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

2020

PseudoChecker: an integrated online platform for gene inactivation inference.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2020

FOCAS: penalising friendly citations to improve author ranking.

[BibT_eX]

[DOI]

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

StreamFaSE: An Online Algorithm for Subgraph Counting in Dynamic Networks.

[BibT_eX]

[DOI]

Henrique Branquinho

Luciano Grácio

Proceedings of the Complex Networks & Their Applications IX, 2020

2019

TensorCast: forecasting and mining with coupled tensors.

[BibT_eX]

[DOI]

Miguel Araujo

Hyun Ah Song

Knowl. Inf. Syst., 2019

Temporal network alignment via GoT-WAVE.

[BibT_eX]

[DOI]

Tijana Milenkovic

Bioinform., 2019

Finding Dominant Nodes Using Graphlets.

[BibT_eX]

[DOI]

Proceedings of the Complex Networks and Their Applications VIII, 2019

2018

Querying Volatile and Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

GoT-WAVE: Temporal network alignment using graphlet-orbit transitions.

[BibT_eX]

[DOI]

Tijana Milenkovic

CoRR, 2018

TensorCast: Forecasting Time-Evolving Networks with Contextual Information.

[BibT_eX]

[DOI]

Miguel Araujo

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Hierarchical Expert Profiling Using Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Jorge M. B. Silva

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

Extending the Applicability of Graphlets to Directed Networks.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Temporal Network Comparison using Graphlet-orbit Transitions.

[BibT_eX]

[DOI]

CoRR, 2017

Scalable subgraph counting using MapReduce.

[BibT_eX]

[DOI]

Ahmad Naser Eddin

Proceedings of the Symposium on Applied Computing, 2017

Evolutionary role mining in complex networks by ensemble clustering.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2017

TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award).

[BibT_eX]

[DOI]

Miguel Ramos de Araujo

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

2016

FastStep: Scalable Boolean Matrix Decomposition.

[BibT_eX]

[DOI]

Miguel Araujo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Large Scale Graph Representations for Subgraph Census.

[BibT_eX]

[DOI]

Proceedings of the Advances in Network Science, 2016

A Subgraph-Based Ranking System for Professional Tennis Players.

[BibT_eX]

[DOI]

Proceedings of the Complex Networks VII, 2016

2015

Rand-FaSE: fast approximate subgraph census.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2015

Dynamic inference of social roles in information cascades.

[BibT_eX]

[DOI]

Srinivasan Parthasarathy

Data Min. Knowl. Discov., 2015

Network comparison using directed graphlets.

[BibT_eX]

[DOI]

CoRR, 2015

Discovering weighted motifs in gene co-expression networks.

[BibT_eX]

[DOI]

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Pairwise structural role mining for user categorization in information cascades.

[BibT_eX]

[DOI]

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

2014

Querying Volatile and Dynamic Networks.

[BibT_eX]

[DOI]

Encyclopedia of Social Network Analysis and Mining, 2014

G-Tries: a data structure for storing and finding subgraphs.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2014

Parallel Subgraph Counting for Multicore Architectures.

[BibT_eX]

[DOI]

Fernando Manuel Augusto da Silva

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2014

A Scalable Parallel Approach for Subgraph Census Computation.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

Discovering Colored Network Motifs.

[BibT_eX]

[DOI]

Proceedings of the Complex Networks V, 2014

2013

Towards a faster network-centric subgraph census.

[BibT_eX]

[DOI]

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

Parallel discovery of network motifs.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2012

Motif Mining in Weighted Networks.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Querying subgraph sets with g-tries.

[BibT_eX]

[DOI]

Proceedings of the 2nd ACM SIGMOD Workshop on Databases and Social Networks, 2012

Event detection in evolving networks.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Computational Aspects of Social Networks, 2012

Comparison of co-authorship networks across scientific fields using motifs

[BibT_eX]

[DOI]

Sylwia Bugla

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011

Network Node Label Acquisition and Tracking.

[BibT_eX]

[DOI]

Proceedings of the Progress in Artificial Intelligence, 2011

2010

Efficient Subgraph Frequency Estimation with G-Tries.

[BibT_eX]

[DOI]

Proceedings of the Algorithms in Bioinformatics, 10th International Workshop, 2010

g-tries: an efficient data structure for discovering network motifs.

[BibT_eX]

[DOI]

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Efficient Parallel Subgraph Counting Using G-Tries.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Cluster Computing, 2010

A Parallel Algorithm for Counting Subgraphs in Complex Networks.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Engineering Systems and Technologies, 2010

Parallel Calculation of Subgraph Census in Biological Networks.

[BibT_eX]

Proceedings of the BIOINFORMATICS 2010, 2010

2009

Teaching Artificial Intelligence and Logic Programming in a Competitive Environment.

[BibT_eX]

[DOI]

Hugo Simões

Michel Ferreira

Informatics Educ., 2009

Strategies for Network Motifs Discovery.

[BibT_eX]

[DOI]