GRAPHS-program.json

{
    "DARPA Office":"DSO",
    "DARPA Program Name":"GRAPHS",
    "Long Name":"GRAPHS",
    "Program Teams":[
        "Sandia National Laboratories",
        "Hewlett Packard",
        "Stanford University",
        "University of Notre Dame",
        "Illinois Institute of Technology",
        "Santa Fe Institute",
        "University of Pennsylvania",
        "Temple University",
        "Johns Hopkins University",
        "Boston University",
        "Harvard",
        "UC Santa Barbara",
        "Pennsylvania State University",
        "Massachusetts Institute of Technology",
        "University of Maryland",
        "University of Minnesota",
        "University of Colorado",
        "University of Michigan",
        "University of Southern California",
        "Lehigh University",
        "Carnegie Mellon University",
        "Alfred Renyi Institute of Mathematics",
        "Rensselaer Polytechnic Institute",
        "University of Houston",
        "University of South Carolina",
        "UC San Diego",
        "Oak Ridge National Laboratories"
    ],
    "Link":"http://www.darpa.mil/program/graphs",
    "Display Software Columns":[
        "Team",
        "Project",
        "Description",
        "Instructional Material",
        "Category",
        "Code",
        "Stats",
        "License"
    ],
    "Display Pubs Columns":[
        "Team",
        "Title",
        "Link"
    ],
    "Display Data Columns":[
        ""
    ],
    "Display Examples Columns":"",
    "Description":"GRAPHS is developing scalable algorithms and statistical methods for the analysis and modelling of very large and dynamically evolving networks, with the intent of developing predictive methods for anomalous and exceptional events in networks. A major focus of the program has been quantitative and structural aspects of large networks and the attending models. The program is divided into a few thrusts, with performers working in sampling techniques for graphs, geometric embeddings into hyperbolic spaces, Gaussian Conditional Random Fields, meso-level network behaviors, and link prediction.",
    "Program Manager Link":"http://www.darpa.mil/staff/dr-reza-ghanadan",
    "Program Manager":"Dr. Reza Ghanadan",
    "Program Manager Email":"reza.ghanadan@darpa.mil",
    "Image":""
}