Name:
Deepayan Chakrabarti

Contact info: Yahoo! Research
701 1st Avenue, Sunnyvale CA 94089
Email:
deepay <at> cs <dot> cmu <dot> edu
deepay <at> yahoo-inc <dot> com

Publications
Patents
Software
CV and Resume
Photos



Thesis
Tools for Large Graph Mining [pdf, 5MB],
and a 17-page summary [pdf, 1.7MB]
Refereed Publications
  In reverse chronological order:
  1. Mining Broad Latent Query Aspects from Search Sessions,
    by X. Wang, D. Chakrabarti, and K. Punera, in KDD 2009:
    pdf
  2. Quicklink Selection for Navigational Query Results,
    by D. Chakrabarti, R. Kumar, K. Punera, in WWW 2009:
    pdf and ppt
  3. Mortal Multi-Armed Bandits,
    by D. Chakrabarti, R. Kumar, F. Radlinkski, and E. Upfal, in NIPS 2008:
    pdf and 1-page poster
  4. Generating Succinct Titles for Web URLs,
    by D. Chakrabarti, R. Kumar, and K. Punera, in KDD 2008:
    pdf and ppt
  5. A Graph-Theoretic Approach to Webpage Segmentation,
    by D. Chakrabarti, R. Kumar, and K. Punera, in WWW 2008:
    pdf and ppt
  6. Contextual Advertising by Combining Relevance with Click Feedback,
    by D. Chakrabarti, D. Agarwal, and V. Josifovski, in WWW 2008:
    pdf and ppt (1hr, 30 min)
  7. Epidemic Thresholds in Real Networks,
    by D. Chakrabarti, Y. Wang, C. Wang, J. Leskovec, and C. Faloutsos, in ACM TISSEC, 10(4), 2008:
    pdf
  8. ShatterPlots: Fast Tools for Mining Large Graphs,
    by A. P. Appel, D. Chakrabarti, C. Faloutsos, R. Kumar, J. Leskovec, and A. Tomkins, in SDM, 2009
  9. Estimating Rates of Rare Events at Multiple Resolutions,
    by D. Agarwal, A. Broder, D. Chakrabarti, D. Diklic, V. Josifovski, and M. Sayyadian, in KDD 2007:
    pdf and ppt
  10. Multi-armed Bandit Problems with Dependent Arms,
    by S. Pandey, D. Chakrabarti, and D. Agarwal, in ICML 2007:
    pdf and ppt
  11. Page-level Template Detection via Isotonic Smoothing,
    by D. Chakrabarti, R. Kumar, and K. Punera, in WWW 2007 (pages 61-70), Banff, Canada:
    pdf and ppt
  12. Bandits for Taxonomies: A Model-based Approach,
    by S. Pandey, D. Agarwal, D. Chakrabarti, and V. Josifovski, in SDM 2007, Minneapolis, Minnesota:
    pdf and ppt
  13. Information Survival Threshold in Sensor and P2P Networks,
    by J. Leskovec, D. Chakrabarti, C. Faloutsos, S. Madden, C. Guestrin, and M. Faloutsos, in IEEE INFOCOM 2007, Anchorage, Alaska:
    pdf
  14. Visualization of Large Networks with Min-cut Plots, A-plots and R-MAT,
    by D. Chakrabarti, C. Faloutsos and Y. Zhan, in the International Journal of Human-Computer Studies, 65(5), May 2007:
    pdf
  15. Graph Mining: Laws, Generators and Algorithms,
    by D. Chakrabarti and C. Faloutsos, in ACM Computing Surveys, 38(1), 2006:
    pdf
  16. Evolutionary Clustering,
    by D. Chakrabarti, Ravi Kumar and A. Tomkins, in KDD 2006, Philadelphia, Pennsylvania:
    pdf
  17. Neighborhood Formation and Anomaly Detection in Bipartite Graphs,
    by J. Sun, H. Qu, D. Chakrabarti, and C. Faloutsos, in ICDM 2005, Houston, Texas:
    pdf
  18. Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication,
    by J. Leskovec, D. Chakrabarti, J. Kleinberg, and C. Faloutsos, in PKDD 2005, Porto, Portugal:
    pdf
  19. AutoPart: Parameter-Free Graph Partitioning and Outlier Detection,
    by D. Chakrabarti, in PKDD 2004 (pages 112-124), Pisa, Italy:
    ps.gz and ppt
  20. Fully Automatic Cross-Associations,
    by D. Chakrabarti, S. Papadimitriou, D. Modha and C. Faloutsos, in KDD 2004 (pages 79-88), Washington, USA:
    pdf and ppt
  21. R-MAT: A Recursive Model for Graph Mining,
    by D. Chakrabarti, Y. Zhan and C. Faloutsos, in SIAM Data Mining 2004, Orlando, Florida, USA:
    pdf
  22. NetMine: New Mining Tools for Large Graphs,
    by D. Chakrabarti, Y. Zhan, D. Blandford, C. Faloutsos and G. Blelloch, in the SDM 2004 Workshop on Link Analysis, Counter-terrorism and Privacy:
    pdf, ps.gz and ppt
  23. Epidemic Spreading in Real Networks: An Eigenvalue Viewpoint,
    by Y. Wang, D. Chakrabarti, C. Wang and C. Faloutsos, in SRDS 2003 (pages 25-34), Florence, Italy:
    pdf, ps.gz and ppt
  24. A Real-Time Expectation Maximization Algorithm for Acquiring Multi-Planar Maps of Indoor Environments with Mobile Robots,
    by S. Thrun, C. Martin, Y. Liu, D. Hahnel, R. Emery-Montemerlo, D. Chakrabarti, and W. Burgard, in IEEE Transactions on Robotics and Automation, 20 (3), pp. 433-442, 2003:
    pdf
  25. F4: Large Scale Automated Forecasting using Fractals,
    by D. Chakrabarti and C. Faloutsos, in CIKM 2002 (pages 2-9), McLean, Virginia, USA:
    pdf, ps.gz and ppt
  26. Using EM to Learn 3D Models of Indoor Environments with Mobile Robots,
    by Y. Liu, R. Emery, D. Chakrabarti, W. Burgard and S. Thrun, in ICML 2001 (pages 329-336), Williamstown, MA, USA:
    pdf and ps.gz
Technical Reports
  1. Fully Automatic Cross-Associations,
    by D. Chakrabarti, S. Papadimitriou, D. S. Modha and C. Faloutsos, in 2004: CMU-CALD-04-107:
    pdf.gz
  2. Large-scale Automated Forecasting using Fractals,
    by D. Chakrabarti, in 2002: CMU-CALD-02-101:
    pdf
Patents
  1. Granted: Customization of information retrieval through user-supplied code, Patent number 6,611,834, by G. Aggarwal, D. Chakrabarti, P. K. Dubey, N. P. Garg, S. Ghosal, A. K. Gupta, A. Kulshreshtha, Ashutosh and S. K. V. Murthy; assignee IBM Corp.
  2. Filed: Named as a co-inventor in 13 patents filed by Yahoo! Inc.
Software
  1. The CrossAssociations package for automatically grouping nodes in a large graph
  2. The NetMine package for extracting patterns from large graphs
  3. The F4 non-linear time series forecasting package