Carlos H. C. Teixeira

17 papers A* 3C 1Misc 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
DuMato: An efficient warp-centric subgraph enumeration system for GPU.
J. Parallel Distributed Comput.
Samuel Ferraz, Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, Srinivasan Parthasarathy, George Teodoro, Wagner Meira Jr.
2023 Misc conf
Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing.
HiPC
Vinícius Vitor dos Santos Dias, Samuel Ferraz, Aditya Vadlamani, Mahdi Erfanian, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy
2022 C conf
Efficient Strategies for Graph Pattern Mining Algorithms on GPUs.
SBAC-PAD
Samuel Ferraz, Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, George Teodoro, Wagner Meira Jr.
2022 J jnl
Efficient Strategies for Graph Pattern Mining Algorithms on GPUs.
CoRR
Samuel Ferraz, Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, George Teodoro, Wagner Meira Jr.
2022 J jnl
Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation.
Data Min. Knowl. Discov.
Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro
2020 J jnl
Sequential Stratified Regeneration: MCMC for Large State Spaces with an Application to Subgraph Counting Estimation.
CoRR
Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Vitor dos Santos Dias, Wagner Meira Jr., Bruno Ribeiro
2020 A* conf
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models.
NeurIPS
Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro
2020 J jnl
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models.
CoRR
Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro
2019 — conf
Fractal: A General-Purpose Graph Pattern Mining System.
SIGMOD Conference
Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy
2018 A* conf
Graph Pattern Mining and Learning through User-Defined Relations.
ICDM
Carlos H. C. Teixeira, Leornado Cotta, Bruno Ribeiro, Wagner Meira Jr.
2018 J jnl
Graph Pattern Mining and Learning through User-defined Relations (Extended Version).
CoRR
Carlos H. C. Teixeira, Leonardo Cotta, Bruno Ribeiro, Wagner Meira Jr.
2017 — conf
Graph Data Mining with Arabesque.
SIGMOD Conference
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
2017 — conf
Provider-Consumer Anomaly Detection for Healthcare Systems.
ICHI
Luiz F. M. Carvalho, Carlos H. C. Teixeira, Wagner Meira Jr., Martin Ester, Osvaldo Carvalho, Maria Helena Brandao
2015 J jnl
Arabesque: A System for Distributed Graph Mining - Extended version.
CoRR
Carlos H. C. Teixeira, Alexandre J. Fonseca, Marco Serafini, Georgos Siganos, Mohammed J. Zaki, Ashraf Aboulnaga
2015 A* conf
Arabesque: a system for distributed graph mining.
SOSP
Carlos H. C. Teixeira, Alexandre J. Fonseca, Marco Serafini, Georgos Siganos, Mohammed J. Zaki, Ashraf Aboulnaga
2012 J jnl
Min-Hash Fingerprints for Graph Kernels: A Trade-off among Accuracy, Efficiency, and Compression.
J. Inf. Data Manag.
Carlos H. C. Teixeira, Arlei Silva, Wagner Meira Jr.
2010 J jnl
Distance-Based Outlier Detection: Consolidation and Renewed Bearing.
Proc. VLDB Endow.
Gustavo Henrique Orair, Carlos H. C. Teixeira, Ye Wang, Wagner Meira Jr., Srinivasan Parthasarathy