Carlos H. C. Teixeira's Home Page 

I am a Lecturer and a Ph.D candidate in the Computer Science Department at Universidade Federal de Minas Gerais (UFMG). My current research is focused on distributed algorithms for graph mining.

In the past, I was a research associate at Qatar Computing Research Institute (2015). Also, I was a visiting scholar at The Ohio State University (2009) and Purdue University (2016). I received my M.Sc degree in 2011 from UFMG, working with Prof. Wagner Meira Jr.

6627 Antonio Carlos Avenue
Belo Horizonte, MG, Brazil 30.123-970

Research Interests

  • Data Mining

  • Parallel and Distributed Algorithms

  • Machine Learning

  • Social Network Analysis


    Sequential stratified regeneration: MCMC for large statespaces with an application to subgraph count estimation Carlos H. C. Teixeira, Mayank Kakodkar, Vinícius Dias, Wagner Meira Jr., Bruno Ribeiro. DMKD 2021 [pdf] [bibtex] [code]

    Unsupervised Joint k-node Graph Representations with Compositional Energy-based Models. Leornado Cotta, Carlos H. C. Teixeira, Ananthram Swami, Bruno Ribeiro. NeurIPS 2020 [pdf] [bibtex]

    Fractal: A General-Purpose Graph Pattern Mining System. Vinícius Dias, Carlos H. C. Teixeira, Dorgival Guedes, Wagner Meira Jr., Srinivasan Parthasarathy. SIGMOD 2019 [pdf] [bibtex] [code]

    Graph Pattern Mining and Learning through User-defined Relations. Carlos H. C. Teixeira, Leonardo Cotta, Bruno Ribeiro, Wagner Meira. ICDM 2018 [pdf] [slides] [poster] [bibtex]

    Provider-consumer Anomaly Detection for Heathcare Systems. Luiz F. Carvalho, Carlos H. C. Teixeira, Wagner Meira Jr., Martin Ester, Osvaldo Carvalho, Maria Brandão. ICHI 2017 [pdf] [bibtex]

    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 [pdf] [slides] [poster] [bibtex] [code]

    Min-Hash Fingerprints for Graph Kernels: A Trade-off among Accuracy, Efficiency, and Compression. Carlos H. C. Teixeira, Arlei Silva, Wagner Meira Jr. SBBD 2012 [pdf] [slides] [bibtex] (Best paper award)

    Distance-based Outlier Detection Consolidation and Renewed Bearing. Gustavo Orair, Carlos H. C. Teixeira, Wagner Meira Jr., Ye Wang, Srinivasan Parthasarathy. VLDB 2010 [pdf] [slides] [bibtex] [code]


Awards and Grants

    José Mauro de Castilho Award - Best paper of the Brazilian Symposium on Databases (SBBD), October 2012

    Scientific Merit Award - given by the Brazilian Computer Society, July 2008 (Second place on Cientific Initiation Contest of 2008)

    Visiting Researcher - Data Mining Lab, The Ohio State University