Distance-Based Outlier Detection: Consolidation and Renewed Bearing. - Gustavo Henrique Orair; Carlos H. C. Teixeira; Ye Wang; Wagner Meira Jr.; Srinivasan Parthasarathy 001 (Proc. VLDB Endow., 2010)

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)

Arabesque: a system for distributed graph mining. - Carlos H. C. Teixeira; Alexandre J. Fonseca; Marco Serafini; Georgos Siganos; Mohammed J. Zaki; Ashraf Aboulnaga (SOSP, 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)

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 (ICHI, 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 (SIGMOD Conference, 2017)

Graph Pattern Mining and Learning through User-Defined Relations. - Carlos H. C. Teixeira; Leornado Cotta; Bruno Ribeiro 001; Wagner Meira Jr. (ICDM, 2018)

Graph Pattern Mining and Learning through User-defined Relations (Extended Version). - Carlos H. C. Teixeira; Leonardo Cotta; Bruno Ribeiro 001; Wagner Meira Jr. (CoRR, 2018)

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 001 (SIGMOD Conference, 2019)

Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models. - Leonardo Cotta; Carlos H. C. Teixeira; Ananthram Swami; Bruno Ribeiro 001 (NeurIPS, 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 001 (CoRR, 2020)

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. (SBAC-PAD, 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 001 (Data Min. Knowl. Discov., 2022)

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 001 (HiPC, 2023)

DuMato: An efficient warp-centric subgraph enumeration system for GPU. - Samuel Ferraz; Vinícius Vitor dos Santos Dias; Carlos H. C. Teixeira; Srinivasan Parthasarathy 001; George Teodoro; Wagner Meira Jr. (J. Parallel Distributed Comput., 2024)