Publications (ordered by year)

You can also see publications ordered by type, my Google Scholar or my DBLP page.

2024

• Patrick Daniel, Vanessa Silva and Pedro Ribeiro. Next Higher Point: two Novel Approaches for Computing Natural Visibility Graphs. Proceedings of the 13th International Conference on Complex Networks and their Applications (CNA), Springer, Istambul, Turkey, December, 2024.
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• Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, Pedro Ribeiro and Pedro Bizarro. Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs. In Transactions on Machine Learning Research, November, 2024.
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• Vanessa Freitas Silva, Maria Eduarda Silva, Pedro Ribeiro and Fernando Silva. Multilayer quantile graph for multivariate time series analysis and dimensionality reduction. In International Journal of Data Science and Analytics, Springer, May, 2024.
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• Duarte Nóbrega and and Pedro Ribeiro. Computing Motifs in Hypergraphs. Proceedings of the 15th Conference on Complex Networks (CompleNet), pp. 55-70, Springer, Exeter, UK, April, 2024.
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2023

• Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro and Pedro Bizarro. The GANfather: Controllable generation of malicious activity to improve defence systems. Proceedings of the 4th ACM International Conference on AI in Finance (ICAIF), pp. 133-140, ACM, New York, USA, November, 2023.
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• Jacopo Bono, Ahmad Naser Eddin, David Aparício, Hugo Ferreira, João Tiago Ascensão, Pedro Ribeiro and Pedro Bizarro. From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs. Proceedings of the 4th ACM International Conference on AI in Finance (ICAIF), pp. 176-184, ACM, New York, USA, November, 2023.
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• Hugo S. Oliveira, Pedro Ribeiro and Helder P. Oliveira. Evaluation of Regularization Techniques for Transformers-Based Models. Proceedings of the 11th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), pp. 312-319, Springer, Alicante, Spain, June, 2023.
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2022

• José Ferreira, Alberto Barbosa and Pedro Ribeiro. Towards the Concept of Spatial Network Motifs. Proceedings of the 11th International Conference on Complex Networks and their Applications (CNA), pp. 565-577, Springer, Palermo, Italy, November, 2022.
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• Alberto Barbosa, Pedro Ribeiro and Inês Dutra. Improving the Characterization and Comparison of Football Players with Spatial Flow Motifs. Proceedings of the 11th International Conference on Complex Networks and their Applications (CNA), pp. 579-591, Springer, Palermo, Italy, November, 2022.
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• Vanessa Freitas Silva, Maria Eduarda Silva, Pedro Ribeiro and Fernando Silva. Novel features for time series analysis: a complex networks approach. In Data Mining and Knowledge Discovery, Vol. 36(3), pp. 1062-1101, Springer, May, 2022.
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2021

• Alberto Barbosa, Pedro Ribeiro and Inês Dutra. Similarity of Football Players Using Passing Sequences. Proceedings of the 8th Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA), pp. 51-61, Springer, Bilbao, Spain, September, 2021.
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• Pedro Ribeiro, Pedro Paredes, Miguel E. P. Silva, David Aparício and Fernando Silva. A Survey on Subgraph Counting: Concepts, Algorithms, and Applications to Network Motifs and Graphlets. In ACM Computing Surveys, Vol. 54(2), pp. 1-36, ACM, March, 2021.
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• Vanessa Freitas Silva, Maria Eduarda Silva, Pedro Ribeiro and Fernando Silva. Time series analysis via network science: Concepts and algorithms. In Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1404, Wiley, March, 2021.
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2020

• Henrique Branquinho, Luciano Grácio and Pedro Ribeiro. StreamFaSE: An Online Algorithm for Subgraph Counting in Dynamic Networks. Proceedings of the 9th International Conference on Complex Networks and their Applications (CNA), pp. 688-699, Springer, Madrid, Spain, December, 2020.
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• Luís Q Alves, Raquel Ruivo, Miguel M Fonseca, Mónica Lopes-Marques, Pedro Ribeiro and L Filipe C Castro. PseudoChecker: an integrated online platform for gene inactivation inference. In Nucleic Acids Research, Vol. 48(W1), pp. W321-W331, Oxford University Press, July, 2020.
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• Jorge Silva, David Aparício, Pedro Ribeiro and Fernando Silva. FOCAS: penalising friendly citations to improve author ranking. Proceedings of the 35th ACM Symposium On Applied Computing - Social Network and Media Analysis Track (ACMSAC), pp. 1852-1860, ACM, Brno, Czech Republic, March, 2020.
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• Miguel Martins and Pedro Ribeiro. Condensed Graphs: A Generic Framework for Accelerating Subgraph Census Computation. Proceedings of the 11th Conference on Complex Networks (CompleNet), pp. 3-15, Springer, Online only, March, 2020.
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2019

• David Aparício, Pedro Ribeiro, Fernando Silva and Jorge Silva. Finding Dominant Nodes Using Graphlets. Proceedings of the 8th International Conference on Complex Networks and their Applications (CNA), pp. 77-89, Springer, Lisbon, Portugal, December, 2019.
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• David Aparício, Pedro Ribeiro, Tijana Milenković and Fernando Silva. Temporal network alignment via GoT-WAVE. In Bioinformatics, Vol. 35(18), pp. 3527-3529, Oxford University Press, September, 2019.
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• Miguel Araujo, Pedro Ribeiro, Hyun Ah Song and Christos Faloutsos. TensorCast: forecasting and mining with coupled tensors. In Knowledge and Information Systems, Vol. 59(3), pp. 497-522, Springer, June, 2019.
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• Luciano Grácio and Pedro Ribeiro. An efficient approach for counting occurring induced subgraphs. Proceedings of the 10th Conference on Complex Networks (CompleNet), pp. 33-49, Springer, Tarragona, Spain, March, 2019.
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2018

• André Diegues, José Pinto and Pedro Ribeiro. Automatic Habitat Mapping using Convolutional Neural Networks. Proceedings of the IEEE OES Autonomous Underwater Vehicle Symposium (AUV), IEEE, Porto, Portugal, November, 2018.
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• David Aparicio, Pedro Ribeiro and Fernando Silva. Graphlet-orbit Transitions (GoT): A fingerprint for temporal network comparison. In PLoS One, Vol. 13(10), e0205497, October, 2018.
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• Jorge Silva, Pedro Ribeiro and Fernando Silva. Hierarchical Expert Profiling using Heterogeneous Information Networks. Proceedings of the 21st International Conference on Discovery Science (DS), pp. 344-360, Springer, Limassol, Cyprus, October, 2018.
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• Miguel Araujo, Pedro Ribeiro and Christos Faloutsos. TensorCast: Forecasting Time-Evolving Networks with Contextual Information. Proceedings of the 27th International Joint Conference on Artificial Intelligence - Sister Conferences Best Papers (IJCAI), pp. 5199-5203, Stockholm, Sweden, July, 2018.
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• Pedro Paredes and Pedro Ribeiro. Fast streaming small graph canonization. Proceedings of the 9th Conference on Complex Networks (CompleNet), pp. 27-40, Springer, Boston, USA, March, 2018.
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2017

• Miguel Araujo, Pedro Ribeiro and Christos Faloutsos . TensorCast: Forecasting with Context using Coupled Tensors. (Best Paper Award) Proceedings of the IEEE International Conference on Data Mining (ICDM), pp. 71-80, IEEE, New Orleans, USA, November, 2017.
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• David Aparício, Pedro Ribeiro and Fernando Silva. Extending the Applicability of Graphlets to Directed Networks. In IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 14(6), pp. 1302-1315, IEEE, November, 2017.
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• Ahmad Naser eddin and Pedro Ribeiro. Scalable Subgraph Counting using MapReduce. Proceedings of the 32nd ACM Symposium On Applied Computing - Practical Aspects of High-Level Parallel Programming Track (ACMSAC), pp. 1574-1581, ACM, Marrakech, Morocco, April, 2017.
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• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Evolutionary Role Mining in Complex Networks by Ensemble Clustering. Proceedings of the 32nd ACM Symposium On Applied Computing - Social Network and Media Analysis Track (ACMSAC), pp. 1053-1060, ACM, Marrakech, Morocco, April, 2017.
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• Miguel Silva, Pedro Paredes and Pedro Ribeiro. Network motifs detection using random networks with prescribed subgraph frequencies. Proceedings of the 8th Conference on Complex Networks (CompleNet), pp. 17-29, Springer, Dubrovnik, Croatia, March, 2017.
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2016

• Miguel Araujo, Pedro Ribeiro and Christos Faloutsos . FastStep: Scalable Boolean Matrix Decomposition. Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 461-473, Springer, Auckland, New Zealand, April, 2016.
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• David Aparício, Pedro Ribeiro and Fernando Silva. A subgraph-based ranking system for professional tennis players. Proceedings of the 7th International Workshop on Complex Networks (CompleNet), pp. 159-171, Springer, Dijon, France, March, 2016.
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• Pedro Paredes and Pedro Ribeiro. Large Scale Graph Representations for Subgraph Census. Proceedings of the International School and Conference on Network Science (NetSciX), pp. 186-94, Springer, Wroclaw, Poland, January, 2016.
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2015

• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Pairwise structural role mining for user categorization in information cascades. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 137-144, IEEE, Paris, France, August, 2015.
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• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Discovering weighted motifs in gene co-expression networks. Proceedings of the 25th ACM Symposium On Applied Computing - Data Mining Track (ACMSAC), pp. 10-17, ACM, Salamanca, Spain, March, 2015.
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• Pedro Paredes and Pedro Ribeiro. Rand-FaSE: Fast Approximate Subgraph Census. In Social Network Analysis and Mining, Vol. 5(1), pp. 1-18, Springer, 2015.
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• Sarvenaz Choobdar, Pedro Ribeiro, Srinivasan Parthasarathy and Fernando Silva. Dynamic inference of social roles in information cascades. In Data Mining and Knowledge Discovery, Vol. 29(5), pp. 1152-1177, Springer, 2015.
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2014

• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Querying Volatile and Dynamic Networks. In Encyclopedia of Social Network Analysis and Mining, pp. 1456-1463, Springer, October, 2014.
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• David Aparício, Pedro Paredes and Pedro Ribeiro. A Scalable Parallel Approach for Subgraph Census Computation. Proceedings of the 7th International Workshop on Multi-/Many-Core Computing Systems (MuCoCos), pp. 194-205, Springer LNCS Vol. 8806, Porto, Portugal, August, 2014.
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• David Aparício, Pedro Ribeiro and Fernando Silva. Parallel subgraph counting for multicore architectures. Proceedings of the 12th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pp. 34-41, IEEE, Milan, Italy, August, 2014.
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• Pedro Ribeiro and Fernando Silva. Discovering Colored Network Motifs. Proceedings of the 5th International Workshop on Complex Networks (CompleNet), Vol. 549, pp. 107-118, Springer SCI, Bologna, Italy, March, 2014.
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• Pedro Ribeiro and Fernando Silva. G-Tries: a data structure for storing and finding subgraphs. In Data Mining and Knowledge Discovery, Vol. 28(2), pp. 337-377, Springer, March, 2014.
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2013

• Pedro Paredes and Pedro Ribeiro. Towards a Faster Network-Centric Subgraph Census. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 264-271, IEEE, Niagara Falls, Canada, August, 2013.
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2012

• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Motif Mining in Weighted Networks. Proceedings of the 2nd IEEE ICDM Workshop on Data Mining in Networks (DaMNet), pp. 210-217, IEEE, Brussels, Belgium, November, 2012.
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• Sarvenaz Choobdar, Pedro Ribeiro and Fernando Silva. Event Detection in Evolving Networks. Proceedings of the 4th International Conference on Computational Aspects of Social Networks (CASoN), pp. 26-32, IEEE, São Carlos, Brazil, November, 2012.
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• Sarvenaz Choobdar, Pedro Ribeiro, Sylwia Bugla and Fernando Silva. Co-authorship network comparison across research fields using motifs. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 147-152, IEEE, Istanbul, Turkey, August, 2012.
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• Pedro Ribeiro and Fernando Silva. Querying Subgraph Sets with G-Tries. (Best Paper Award) Proceedings of the 2nd ACM SIGMOD Workshop on Databases and Social Networks (DBSocial), pp. 25-30, ACM, Scottsdale, USA, May, 2012.
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• Pedro Ribeiro, Fernando Silva and Luís Lopes. Parallel Discovery of Network Motifs. In Journal of Parallel and Distributed Computing, Vol. 72(2), pp. 144-154, Elsevier, February, 2012.
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2011

• Sarvenaz Choobdar, Fernando Silva and Pedro Ribeiro. Network node label acquisition and tracking. Proceedings of the 15th Portuguese Conference on Artificial Intelligence (EPIA), pp. 418-430, Springer LNCS Vol. 7026, Lisbon, Portugal, October, 2011.
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• Pedro Ribeiro. Efficient and Scalable Algorithms for Network Motifs Discovery. PhD Thesis. Doctoral Programme in Computer Science. Faculty of Science of the University of Porto, June, 2011.
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• Pedro Ribeiro, Fernando Silva and Luís Lopes. A Parallel Algorithm for Counting Subgraphs in Complex Networks. Proceedings of the 3rd International Joint Conference on Biomedical Engineering Systems and Technologies, Revised Selected Papers (BIOSTEC), pp. 380-393, Springer CCIS Vol. 127, Valencia, Spain, 2011.
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2010

• Pedro Ribeiro, Fernando Silva and Luís Lopes. Efficient Parallel Subgraph Counting using G-Tries. Proceedings of the IEEE International Conference on Cluster Computing (CLUSTER), pp. 217-226, IEEE CS Press, Crete, Greece, September, 2010.
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• Pedro Ribeiro and Fernando Silva. Efficient Subgraph Frequency Estimation with G-Tries. Proceedings of the 10th International Workshop on Algorithms in Bioinformatics (WABI), pp. 238-249, Springer LNCS Vol. 6293, Liverpool, UK, September, 2010.
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• Pedro Ribeiro and Fernando Silva. G-Tries: an efficient data structure for discovering network motifs. Proceedings of the 25th ACM Symposium On Applied Computing - Bioinformatics Track (ACMSAC), pp. 1559-1566, ACM, Sierre, Switzerland, March, 2010.
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• Pedro Ribeiro, Fernando Silva and Luís Lopes. Parallel Calculation of Subgraph Census in Biological Networks. Proceedings of the 1st International Conference on Bioinformatics (BIOINFORMATICS), pp. 56-65, INSTICC, Valencia, Spain, January, 2010.
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2009

• Pedro Ribeiro, Fernando Silva and Marcus Kaiser. Strategies for Network Motifs Discovery. Proceedings of the 5th IEEE International Conference on e-Science (ESCIENCE), pp. 80-87, IEEE CS Press, Oxford, UK, December, 2009.
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• Pedro Ribeiro, Jennifer Simonotto, Marcus Kaiser and Fernando Silva. Parallel calculation of multi-electrode array correlation networks. In Journal of Neuroscience Methods, Vol. 184(2), pp. 357-365, Elsevier, November, 2009.
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• Pedro Ribeiro and Pedro Guerreiro. Improving the Automatic Evaluation of Problem Solutions in Programming Contests. In Olympiads in Informatics, Vol. 3, pp. 132-143, 2009.
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• Pedro Ribeiro, Hugo Simões and Michel Ferreira. Teaching Artificial Intelligence and Logic Programming in a Competitive Environment. In Informatics in Education, Vol. 8(1), 85-100, 2009.
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2008

• Pedro Ribeiro and Pedro Guerreiro. Early Introduction of Competitive Programming. In Olympiads in Informatics, Vol. 2, pp. 149-162, 2008.
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2007

• Pedro Ribeiro. An autonomous hybrid robot system to navigate through unknown maze environments. Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC), pp. 274-279, Palma de Mallorca, Spain, August, 2007.
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• Pedro Ribeiro, Pedro Pereira, Luís Lopes and Fernando Silva. Plugging Computer Labs to the Grid. Proceedings of the 1st Iberian GRID Infrastructure Conference (IBERGRID), pp. 393-396, Santiago de Compostela, Spain, May, 2007.
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• Pedro Ribeiro and Pedro Guerreiro. Increasing the Appeal of Programming Contests with Tasks Involving Graphical User Interfaces and Computer Graphics . In Olympiads in Informatics, Vol. 1, pp. 149-164, 2007.
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2002

• Pedro Ribeiro. YAM (Yet Another Mouse) - Um Robot Virtual com Planeamento de Caminho a Longo Prazo. In University of Aveiro Electronics and Telecommunications Department Magazine, Vol. 3(7), pp. 672-674, September, 2002.
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