Carlos H. C. Teixeira

According to our database, Carlos H. C. Teixeira authored at least 14 papers between 2010 and 2023.

Collaborative distances:

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

2023

Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing.

Vinícius Vitor dos Santos Dias, Samuel Ferraz, Aditya Vadlamani, Mahdi Erfanian, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

2022

Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation.

Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro

Data Min. Knowl. Discov., 2022

Efficient Strategies for Graph Pattern Mining Algorithms on GPUs.

Samuel Ferraz, Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, George Teodoro, Wagner Meira Jr.

Proceedings of the 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2022

2020

Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation.

Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro

CoRR, 2020

Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models.

Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Fractal: A General-Purpose Graph Pattern Mining System.

Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

Graph Pattern Mining and Learning through User-defined Relations (Extended Version).

Carlos H. C. Teixeira, Leonardo Cotta, Bruno Ribeiro, Wagner Meira Jr.

CoRR, 2018

Graph Pattern Mining and Learning through User-Defined Relations.

Carlos H. C. Teixeira, Leornado Cotta, Bruno Ribeiro, Wagner Meira Jr.

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Graph Data Mining with Arabesque.

Eslam Hussein, Abdurrahman Ghanem, Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, Ghadeer AbuOda, Marco Serafini, Georgos Siganos, Gianmarco De Francisci Morales, Ashraf Aboulnaga, Mohammed J. Zaki

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Provider-Consumer Anomaly Detection for Healthcare Systems.

Luiz F. M. Carvalho, Carlos H. C. Teixeira, Wagner Meira Jr., Martin Ester, Osvaldo Carvalho, Maria Helena Brandao

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2015

Arabesque: A System for Distributed Graph Mining - Extended version.

Carlos H. C. Teixeira, Alexandre J. Fonseca, Marco Serafini, Georgos Siganos, Mohammed J. Zaki, Ashraf Aboulnaga

CoRR, 2015

Arabesque: a system for distributed graph mining.

Carlos H. C. Teixeira, Alexandre J. Fonseca, Marco Serafini, Georgos Siganos, Mohammed J. Zaki, Ashraf Aboulnaga

Proceedings of the 25th Symposium on Operating Systems Principles, 2015

2012

Min-Hash Fingerprints for Graph Kernels: A Trade-off among Accuracy, Efficiency, and Compression.

Carlos H. C. Teixeira, Arlei Silva, Wagner Meira Jr.

J. Inf. Data Manag., 2012

2010

Distance-Based Outlier Detection: Consolidation and Renewed Bearing.

Gustavo Henrique Orair, Carlos H. C. Teixeira, Ye Wang, Wagner Meira Jr., Srinivasan Parthasarathy

Proc. VLDB Endow., 2010