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<div class="hero-bg-image__content"> <div class="hero-bg-image__content-inner"> <h1 class="hero-bg-image__title"><div class="tex2jax_process"><p>Graph &amp;<br /> Data Analytics</p> </div></h1> <h3 class="hero-bg-image__subtitle"><div class="tex2jax_process"><p>Bringing understanding<br /> to large, disparate data</p> </div></h3> <div class="caption"> <button class="caption__button">Open</button> <div class="caption__text"> <div class="caption__caption"><div class="tex2jax_process"><p> Draguna Vrabie </p></div></div> <div class="caption__credit"><div class="tex2jax_process"><p><em>Andrea Starr | Pacific Northwest National Laboratory</em></p></div></div> </div> </div> </div> </div> </div> </div> </div> <div class="l-constrain"> </div> <div class="l-constrain l-constrain--narrow"> <div class="l-sidebar__wrapper"> <aside class="l-sidebar__sidebar"> <div id="block-research-topic-sidebar-nav" class="local-menu-block"> <button class="local-menu-block__mobile-button">Section Menu</button> <div class="local-menu-block__content"> <ul class="menu menu--main"> <li class="menu__item is-expanded"> <a href="/scientific-discovery" class="menu__link is-expanded" data-drupal-link-system-path="taxonomy/term/39">Scientific Discovery</a> </li> <li class="menu__item is-expanded"> <a href="/sustainable-energy" class="menu__link is-expanded" data-drupal-link-system-path="taxonomy/term/41">Sustainable Energy</a> </li> <li class="menu__item is-expanded"> <a href="/national-security" class="menu__link is-expanded" data-drupal-link-system-path="taxonomy/term/40">National Security</a> </li> <li class="menu__item has-subnav is-active-trail is-expanded"> <a href="/data-science-computing" class="menu__link has-subnav is-active-trail is-expanded" data-drupal-link-system-path="taxonomy/term/78">Data Science &amp; Computing</a> <ul class="menu menu__subnav"> <li class="menu__item"> <a href="/artificial-intelligence" class="menu__link" data-drupal-link-system-path="taxonomy/term/208">Artificial 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class="projects">Projects</a></li><li class="menu__item"><a href="/explainer-articles?explainer-articles%5B0%5D=research-topic%3A81" class="explainer-articles">Explainer Articles</a></li></ul> </div> </div> <div class="related-people"> <h4 class="related-people-heading"> </h4> <div class="related-people-list" > </div> </div> </aside> <div class="l-sidebar__main"> <section class="paragraph paragraph--type-content-embed paragraph--display-mode-default l-section"> <div class="l-section__content"> <div class="custom-table"><div class="tex2jax_process"><p><span><span><span>Data essential for examining hard scientific and <a href="https://www.pnnl.gov/national-security">national security</a> questions are often large, messy, or incomplete. Frequently, these data exist in networks or graphs that grow more complex as the amount of data grows.</span></span></span></p> <p><span><span><span>Take the energy sector, for example. Technologies continually evolve, and new sources of energy generation come to fruition. These rapid changes create challenges for data integration and understanding.</span></span></span></p> <p><span><span><span>Likewise, related data carried over digital networks can be nearly impossible to connect. These data can be captured or conveyed with graphs, but at a very high level.</span></span></span></p> <p><span><span><span>Our researchers are pioneering data and graph analytics using novel <a href="https://www.pnnl.gov/visual-analytics">visualization</a> and <a href="https://www.pnnl.gov/artificial-intelligence">machine learning techniques</a> to tease out data connections.</span></span></span></p> <h3><span><span><span><span><span>Data integration across devices, networks, and data sets</span></span></span></span></span></h3> <p><span><span><span>Pacific Northwest National Laboratory (PNNL) researchers developed the <a href="https://bgintegration.pnnl.gov/volttron.asp">VOLTTRON<sup>TM</sup> software platform</a> to integrate smart device operations and communications over the power grid. The platform’s analytical environment seamlessly and securely connects a wide range of data and devices to make automatic decisions based on user needs and preferences. When used in building systems to manage energy consumption, VOLTTRON improves overall system performance and creates a more flexible and reliable grid.</span></span></span></p> <p><span><span><span>Our researchers are also developing scalable graph platforms to understand network structures and extract actionable information embedded in diverse data sets. <a href="https://www.pnnl.gov/news-media/protecting-essential-connections-tangled-web">Ripples</a>, a first-of-its-kind network analysis tool, can solve complex graph analytics problems in less than a minute on a <a href="https://www.pnnl.gov/high-performance-computing">high-performance computing</a> platform. Grappolo can perform blazing fast graph clustering (community detection) on graphs with millions to billions of nodes. Vite, a distributed version of Grappolo, can scale computation on leadership-class machines for graphs with tens to hundreds of billions of edges, with demonstrated performance on modern multi-GPU systems.</span></span></span></p> <p><span><span><span>Networks frequently present data of higher complexity than can be captured natively in graphs. <a href="https://www.pnnl.gov/publications/revealing-genes-respond-viral-infections">Hypergraphs</a> are networks in which entities can be related into groups (hyperedges) of one or more entities, not just as pairs of entities as in graphs. Hypergraph concepts like paths and walks, in addition to length, also have width, or strength of interaction. Methods from network science extend naturally to hypergraphs, and their complex multidimensional structure yields representations from computational topology, including abstract simplicial complexes. <a href="https://github.com/pnnl/HyperNetX">HyperNetX(HNX)</a> is an open-source Python library developed to analyze and visualize multi-way relationships modeled as hypergraphs. These relationships can be found in cyber data, protein pathways, bibliographic networks, and social media where interactions involve multiple entities simultaneously.</span></span></span></p> <p><span><span><span>The <a href="https://www.pnnl.gov/projects/exascale-computing-project">Exascale Computing Project’s</a> co-design centers, ExaGraph and ExaLearn, are other examples of our work in this area. Through these projects, we are developing scalable graph algorithms targeting exascale systems, integration with domain science applications, generative models for molecular structures, and scalable implementations of deep reinforcement learning algorithms.</span></span></span></p> <p><span><span><span>Additionally, PNNL researchers develop mathematical foundations for <a href="https://dnc2s.ornl.gov/">data-driven decision control for complex systems</a>, such as high-energy physics facilities and smart buildings. This work is part of our partnership with Oak Ridge National Laboratory, the University of Arizona, and the University of California, Santa Barbara.</span></span></span></p> <p><span><span><span>PNNL has a deep understanding of the mathematical principles that govern the digital landscape. Our data and graph analytics technologies have been deployed in domains including threat detection for national security, cyber analytics, scientific computing, intellectual property portfolio analysis, energy grid reliability, environmental safety, training, and law enforcement. Further, in collaboration with joint institutes such as the University of Washington, our researchers are discovering innovative solutions to complex analytic challenges.</span></span></span></p></div></div> </div> </section> <div class="l-listing-view"> <div class="l-constrain"> <div class="l-listing-view__wrapper"> <div class="l-listing-view__body"> <section class="paragraph paragraph--type-view-embed paragraph--display-mode-default l-section"> <h2 class="l-section__title">Top Stories</h2> <div class="l-section__content"> <div class="views-element-container"><div class="l-grid l-grid--3col"> <div class="card has-footer "> <div class="card__body"> <div class="card__header"> <div class="card__meta"> <div class="meta "> <div class="meta__item">OCTOBER 23, 2024</div> <div class="meta__item">Feature</div> </div> </div> <h3 class="card__title"> <a href="/news-media/researchers-eye-topological-signatures-cyber-threats"> <span>Researchers Eye ‘Topological Signatures’ of Cyber Threats</span> 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href="/news-media/livewire-wins-team-award-annual-merit-review"> <span>Livewire Wins Team Award at Annual Merit Review</span> </a> </h3> </div> <div class="card__footer"> <a href="/news-media/livewire-wins-team-award-annual-merit-review">Read</a> </div> </div> <div class="card__media"> <a href="/news-media/livewire-wins-team-award-annual-merit-review"> <article> <div class="field field--name-field-media-image field--type-image field--label-hidden field--style-no-margin"> <div class="field__item"> <img src="/sites/default/files/styles/thumbnail/public/media/image/EED_2587_WEB_VTOawards_0.jpg?h=08b866d1&amp;itok=fmE5eKPp" width="800" height="600" alt="PNNL Livewire Team Wins a DOE VTO Award" loading="lazy" /> </div> </div> </article> </a> </div> </div> <div class="card has-footer "> <div class="card__body"> <div class="card__header"> <div class="card__meta"> <div class="meta "> <div class="meta__item">JANUARY 25, 2024</div> <div class="meta__item">News Release</div> </div> </div> <h3 class="card__title"> <a href="/news-media/pnnl-software-technology-wins-flc-award"> <span>PNNL Software Technology Wins FLC Award</span> </a> </h3> </div> <div class="card__footer"> <a href="/news-media/pnnl-software-technology-wins-flc-award">Read</a> </div> </div> <div class="card__media"> <a href="/news-media/pnnl-software-technology-wins-flc-award"> <article> <div class="field field--name-field-media-image field--type-image field--label-hidden field--style-no-margin"> <div class="field__item"> <img src="/sites/default/files/styles/thumbnail/public/media/image/PNNL.VSP_.1600x1200_0-1.jpg?h=08b866d1&amp;itok=b2You7Si" width="800" height="600" alt="Composite image showcasing different uses of the Visual Sample Plan software tool." loading="lazy" /> </div> </div> </article> </a> </div> </div> </div> <div class="see-all-link"> <a href="/news?news%5B0%5D=research-topic%3A81">SEE MORE RELATED NEWS</a> </div></div> </div> </section> </div> </div> </div> </div> <div class="l-listing-view"> 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