<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-02869235</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-18T09:07:37+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Distance geometry and data science</title>
            <author role="aut">
              <persName>
                <forename type="first">Leo</forename>
                <surname>Liberti</surname>
              </persName>
              <email type="md5">25d89f16c9bccad2924e186a0b563933</email>
              <email type="domain">gmail.com</email>
              <idno type="idhal" notation="string">leoliberti</idno>
              <idno type="idhal" notation="numeric">184522</idno>
              <idno type="halauthorid" notation="string">3712-184522</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-3139-6821</idno>
              <idno type="GOOGLE SCHOLAR">https://scholar.google.com/citations?user=6npyGgEAAAAJ</idno>
              <idno type="IDREF">https://www.idref.fr/135962404</idno>
              <affiliation ref="#struct-2071"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Leo</forename>
                <surname>Liberti</surname>
              </persName>
              <email type="md5">25d89f16c9bccad2924e186a0b563933</email>
              <email type="domain">gmail.com</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2020-06-15 19:57:35</date>
              <date type="whenWritten">2020</date>
              <date type="whenModified">2025-08-20 10:42:43</date>
              <date type="whenReleased">2020-06-22 07:58:39</date>
              <date type="whenProduced">2020</date>
              <date type="whenEndEmbargoed">2020-06-15</date>
              <ref type="file" target="https://hal.science/hal-02869235v1/document">
                <date notBefore="2020-06-15"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://hal.science/hal-02869235v1/file/dgds.pdf" id="file-2869235-2522986">
                <date notBefore="2020-06-15"/>
              </ref>
              <ref type="externalLink" target="http://arxiv.org/pdf/1909.08544"/>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="115715">
                <persName>
                  <forename>Leo</forename>
                  <surname>Liberti</surname>
                </persName>
                <email type="md5">25d89f16c9bccad2924e186a0b563933</email>
                <email type="domain">gmail.com</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-02869235</idno>
            <idno type="halUri">https://hal.science/hal-02869235</idno>
            <idno type="halBibtex">liberti:hal-02869235</idno>
            <idno type="halRefHtml">&lt;i&gt;TOP&lt;/i&gt;, In press, 28, pp.271-339. &lt;a target="_blank" href="https://dx.doi.org/10.1007/s11750-020-00563-0"&gt;&amp;#x27E8;10.1007/s11750-020-00563-0&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">TOP, In press, 28, pp.271-339. &amp;#x27E8;10.1007/s11750-020-00563-0&amp;#x27E9;</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-2869235-2522986"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="X">École polytechnique</idno>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="LIX" corresp="X">Laboratoire d'informatique de l'Ecole polytechnique</idno>
            <idno type="stamp" n="X-DEP-INFO">Département d'informatique de l’École polytechnique</idno>
            <idno type="stamp" n="TDS-MACS">Réseau de recherche en Théorie des Systèmes Distribués, Modélisation, Analyse et Contrôle des Systèmes</idno>
            <idno type="stamp" n="IP_PARIS">Institut Polytechnique de Paris</idno>
            <idno type="stamp" n="DEPARTEMENT-DE-MATHEMATIQUES">Collection du Département de Mathématiques</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Distance geometry and data science</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Leo</forename>
                    <surname>Liberti</surname>
                  </persName>
                  <email type="md5">25d89f16c9bccad2924e186a0b563933</email>
                  <email type="domain">gmail.com</email>
                  <idno type="idhal" notation="string">leoliberti</idno>
                  <idno type="idhal" notation="numeric">184522</idno>
                  <idno type="halauthorid" notation="string">3712-184522</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-3139-6821</idno>
                  <idno type="GOOGLE SCHOLAR">https://scholar.google.com/citations?user=6npyGgEAAAAJ</idno>
                  <idno type="IDREF">https://www.idref.fr/135962404</idno>
                  <affiliation ref="#struct-2071"/>
                </author>
              </analytic>
              <monogr>
                <idno type="halJournalId" status="VALID">40746</idno>
                <idno type="issn">1134-5764</idno>
                <idno type="eissn">1863-8279</idno>
                <title level="j">TOP</title>
                <imprint>
                  <publisher>Springer Verlag</publisher>
                  <biblScope unit="volume">28</biblScope>
                  <biblScope unit="pp">271-339</biblScope>
                  <date type="datePub" subtype="inPress">2020</date>
                </imprint>
              </monogr>
              <idno type="doi">10.1007/s11750-020-00563-0</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <classCode scheme="halDomain" n="info.info-ro">Computer Science [cs]/Operations Research [math.OC]</classCode>
              <classCode scheme="halTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halOldTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halTreeTypology" n="ART">Journal articles</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Data are often represented as graphs. Many common tasks in data science are based on distances between entities. While some data science methodologies natively take graphs as their input, there are many more that take their input in vectorial form. In this survey we discuss the fundamental problem of mapping graphs to vectors, and its relation with mathematical programming. We discuss applications, solution methods, dimensional reduction techniques and some of their limits. We then present an application of some of these ideas to neural networks, showing that distance geometry techniques can give competitive performance with respect to more traditional graph-to-vector mappings.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="laboratory" xml:id="struct-2071" status="VALID">
          <idno type="IdRef">196509955</idno>
          <idno type="ISNI">0000000403673665</idno>
          <idno type="RNSR">200519331V</idno>
          <idno type="ROR">https://ror.org/04afed728</idno>
          <idno type="Wikidata">Q16009025</idno>
          <orgName>Laboratoire d'informatique de l'École polytechnique [Palaiseau]</orgName>
          <orgName type="acronym">LIX</orgName>
          <date type="start">2005-01-01</date>
          <desc>
            <address>
              <addrLine>1 Rue Honoré d’Estienne d’Orves, Bâtiment Alain Turing, 91120 Palaiseau</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.lix.polytechnique.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-300340" type="direct"/>
            <relation active="#struct-563936" type="indirect"/>
            <relation name="UMR7161" active="#struct-441569" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-300340" status="VALID">
          <idno type="IdRef">027309320</idno>
          <idno type="ISNI">0000000121581279</idno>
          <idno type="ROR">https://ror.org/05hy3tk52</idno>
          <idno type="Wikidata">Q273626</idno>
          <orgName>École polytechnique</orgName>
          <orgName type="acronym">X</orgName>
          <date type="start">1794-03-11</date>
          <desc>
            <address>
              <addrLine>Route de Saclay, 91128 Palaiseau Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.polytechnique.edu/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-563936" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-563936" status="VALID">
          <idno type="IdRef">238327159</idno>
          <idno type="ISNI">0000000502717600</idno>
          <idno type="ROR">https://ror.org/042tfbd02</idno>
          <idno type="Wikidata">Q48759778</idno>
          <orgName>Institut Polytechnique de Paris</orgName>
          <orgName type="acronym">IP Paris</orgName>
          <date type="start">2019-06-02</date>
          <desc>
            <address>
              <addrLine>Route de Saclay, 91120 Palaiseau Cedex, France</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.ip-paris.fr</ref>
          </desc>
        </org>
        <org type="regroupinstitution" xml:id="struct-441569" status="VALID">
          <idno type="IdRef">02636817X</idno>
          <idno type="ISNI">0000000122597504</idno>
          <idno type="ROR">https://ror.org/02feahw73</idno>
          <orgName>Centre National de la Recherche Scientifique</orgName>
          <orgName type="acronym">CNRS</orgName>
          <date type="start">1939-10-19</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.cnrs.fr/</ref>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>