<?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-05617654</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="2026-05-13T13:22:21+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Differentiable Parameter-less Co-Clustering using Graph Neural Networks</title>
            <author role="aut">
              <persName>
                <forename type="first">Alessio</forename>
                <surname>Ragno</surname>
              </persName>
              <email type="md5">35c9e3cc09bfcef567cc40c5dbdba747</email>
              <email type="domain">insa-lyon.fr</email>
              <idno type="idhal" notation="string">spideralessio</idno>
              <idno type="idhal" notation="numeric">1517574</idno>
              <idno type="halauthorid" notation="string">3283542-1517574</idno>
              <affiliation ref="#struct-1143673"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Pierre-Angelo</forename>
                <surname>Peyrie</surname>
              </persName>
              <email type="md5">3585e67400a7365ae8191c6cf6aae533</email>
              <email type="domain">insa-lyon.fr</email>
              <idno type="idhal" notation="numeric">1678161</idno>
              <idno type="halauthorid" notation="string">4122277-1678161</idno>
              <affiliation ref="#struct-2003"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Marc</forename>
                <surname>Plantevit</surname>
              </persName>
              <email type="md5">adc31f6425ef95bd13b73a6fa3cde904</email>
              <email type="domain">liris.cnrs.fr</email>
              <idno type="idhal" notation="string">marc-plantevit</idno>
              <idno type="idhal" notation="numeric">2640</idno>
              <idno type="halauthorid" notation="string">11402-2640</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-4636-5753</idno>
              <idno type="IDREF">https://www.idref.fr/125705328</idno>
              <affiliation ref="#struct-1143673"/>
            </author>
            <author role="crp">
              <persName>
                <forename type="first">Ruggero</forename>
                <forename type="middle">G</forename>
                <surname>Pensa</surname>
              </persName>
              <email type="md5">6131a20346424a2b74bd5fd2a95da93b</email>
              <email type="domain">unito.it</email>
              <idno type="idhal" notation="numeric">1096677</idno>
              <idno type="halauthorid" notation="string">4122278-1096677</idno>
              <affiliation ref="#struct-47709"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Céline</forename>
                <surname>Robardet</surname>
              </persName>
              <email type="md5">3bbacf43374f9af54c31513bea90b2d9</email>
              <email type="domain">insa-lyon.fr</email>
              <idno type="idhal" notation="string">celine-robardet</idno>
              <idno type="idhal" notation="numeric">3355</idno>
              <idno type="halauthorid" notation="string">6975-3355</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-8583-9408</idno>
              <idno type="IDREF">https://www.idref.fr/070207054</idno>
              <affiliation ref="#struct-2003"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Alessio</forename>
                <surname>Ragno</surname>
              </persName>
              <email type="md5">35c9e3cc09bfcef567cc40c5dbdba747</email>
              <email type="domain">insa-lyon.fr</email>
            </editor>
            <funder ref="#projanr-171245"/>
            <funder ref="#projanr-98330"/>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2026-05-10 12:06:48</date>
              <date type="whenModified">2026-05-13 03:48:40</date>
              <date type="whenReleased">2026-05-11 15:08:51</date>
              <date type="whenProduced">2026</date>
              <date type="whenEndEmbargoed">2026-05-10</date>
              <ref type="file" target="https://hal.science/hal-05617654v1/document">
                <date notBefore="2026-05-10"/>
              </ref>
              <ref type="file" subtype="publisherPaid" n="1" target="https://hal.science/hal-05617654v1/file/s10618-026-01211-0.pdf" id="file-5617654-4813675">
                <date notBefore="2026-05-10"/>
              </ref>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="1643649">
                <persName>
                  <forename>Alessio</forename>
                  <surname>Ragno</surname>
                </persName>
                <email type="md5">35c9e3cc09bfcef567cc40c5dbdba747</email>
                <email type="domain">insa-lyon.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-05617654</idno>
            <idno type="halUri">https://hal.science/hal-05617654</idno>
            <idno type="halBibtex">ragno:hal-05617654</idno>
            <idno type="halRefHtml">&lt;i&gt;Data Mining and Knowledge Discovery&lt;/i&gt;, 2026, 40 (4), pp.48. &lt;a target="_blank" href="https://dx.doi.org/10.1007/s10618-026-01211-0"&gt;&amp;#x27E8;10.1007/s10618-026-01211-0&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">Data Mining and Knowledge Discovery, 2026, 40 (4), pp.48. &amp;#x27E8;10.1007/s10618-026-01211-0&amp;#x27E9;</idno>
            <availability status="restricted">
              <licence target="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0 - Attribution<ref corresp="#file-5617654-4813675"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="UNIV-LYON1">Université Claude Bernard - Lyon I</idno>
            <idno type="stamp" n="UNIV-LYON2">Université Lumière Lyon 2</idno>
            <idno type="stamp" n="INSA-LYON">Institut National des Sciences Appliquées de Lyon</idno>
            <idno type="stamp" n="EC-LYON">Ecole Centrale de Lyon</idno>
            <idno type="stamp" n="LIRIS" corresp="UNIV-LYON1">Laboratoire d'InfoRmatique en Image et Systèmes d'information</idno>
            <idno type="stamp" n="LYON2">Université Lyon2</idno>
            <idno type="stamp" n="INSA-GROUPE">Groupe INSA</idno>
            <idno type="stamp" n="UDL">UDL</idno>
            <idno type="stamp" n="UNIV-LYON">Université de Lyon</idno>
            <idno type="stamp" n="ANR">ANR</idno>
            <idno type="stamp" n="AGROECONUM">AgroEcoNum</idno>
            <idno type="stamp" n="ANR-IA-24" corresp="ANR-IA">ANR-IA-24</idno>
            <idno type="stamp" n="ANR-IA">ANR-IA</idno>
            <idno type="stamp" n="HAL-LYON-2-NOUVELLE-VERSION">Nouvelle version portail </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">Differentiable Parameter-less Co-Clustering using Graph Neural Networks</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Alessio</forename>
                    <surname>Ragno</surname>
                  </persName>
                  <email type="md5">35c9e3cc09bfcef567cc40c5dbdba747</email>
                  <email type="domain">insa-lyon.fr</email>
                  <idno type="idhal" notation="string">spideralessio</idno>
                  <idno type="idhal" notation="numeric">1517574</idno>
                  <idno type="halauthorid" notation="string">3283542-1517574</idno>
                  <affiliation ref="#struct-1143673"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Pierre-Angelo</forename>
                    <surname>Peyrie</surname>
                  </persName>
                  <email type="md5">3585e67400a7365ae8191c6cf6aae533</email>
                  <email type="domain">insa-lyon.fr</email>
                  <idno type="idhal" notation="numeric">1678161</idno>
                  <idno type="halauthorid" notation="string">4122277-1678161</idno>
                  <affiliation ref="#struct-2003"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Marc</forename>
                    <surname>Plantevit</surname>
                  </persName>
                  <email type="md5">adc31f6425ef95bd13b73a6fa3cde904</email>
                  <email type="domain">liris.cnrs.fr</email>
                  <idno type="idhal" notation="string">marc-plantevit</idno>
                  <idno type="idhal" notation="numeric">2640</idno>
                  <idno type="halauthorid" notation="string">11402-2640</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-4636-5753</idno>
                  <idno type="IDREF">https://www.idref.fr/125705328</idno>
                  <affiliation ref="#struct-1143673"/>
                </author>
                <author role="crp">
                  <persName>
                    <forename type="first">Ruggero</forename>
                    <forename type="middle">G</forename>
                    <surname>Pensa</surname>
                  </persName>
                  <email type="md5">6131a20346424a2b74bd5fd2a95da93b</email>
                  <email type="domain">unito.it</email>
                  <idno type="idhal" notation="numeric">1096677</idno>
                  <idno type="halauthorid" notation="string">4122278-1096677</idno>
                  <affiliation ref="#struct-47709"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Céline</forename>
                    <surname>Robardet</surname>
                  </persName>
                  <email type="md5">3bbacf43374f9af54c31513bea90b2d9</email>
                  <email type="domain">insa-lyon.fr</email>
                  <idno type="idhal" notation="string">celine-robardet</idno>
                  <idno type="idhal" notation="numeric">3355</idno>
                  <idno type="halauthorid" notation="string">6975-3355</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-8583-9408</idno>
                  <idno type="IDREF">https://www.idref.fr/070207054</idno>
                  <affiliation ref="#struct-2003"/>
                </author>
              </analytic>
              <monogr>
                <idno type="halJournalId" status="VALID">12470</idno>
                <idno type="issn">1384-5810</idno>
                <idno type="eissn">1573-756X</idno>
                <title level="j">Data Mining and Knowledge Discovery</title>
                <imprint>
                  <publisher>Springer</publisher>
                  <biblScope unit="volume">40</biblScope>
                  <biblScope unit="issue">4</biblScope>
                  <biblScope unit="pp">48</biblScope>
                  <date type="datePub">2026</date>
                  <date type="dateEpub">2026-05-09</date>
                </imprint>
              </monogr>
              <idno type="doi">10.1007/s10618-026-01211-0</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">Co-clustering Differentiable optimization Graph neural networks</term>
                <term xml:lang="en">Graph neural networks</term>
                <term xml:lang="en">Differentiable optimization</term>
                <term xml:lang="en">Co-clustering</term>
              </keywords>
              <classCode scheme="halDomain" n="stat.ml">Statistics [stat]/Machine Learning [stat.ML]</classCode>
              <classCode scheme="halDomain" n="phys.phys.phys-data-an">Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an]</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>Co-clustering refers to the simultaneous clustering of rows and columns in a data matrix, uncovering joint patterns between two distinct sets, such as documents and terms or users and products. Traditional co-clustering algorithms typically rely on discrete optimization techniques based on enumeration, which can limit both scalability and flexibility. In this paper, we introduce a differentiable programming approach to co-clustering that enables the continuous optimization of co-partitions using graph neural networks. Our method is grounded in an associative co-clustering quality measure that is independent of the number of clusters and dynamically adjusts this parameter by jointly considering both partitions. By leveraging automatic differentiation and graph neural networks, our approach scales to very large datasets while maintaining high-quality co-cluster structures. We evaluate our method using different types of graph neural networks and initialization strategies. Furthermore, when compared with recent state-of-the-art methods for co-clustering and graph clustering, our approach achieves competitive or superior results in terms of accuracy. Most importantly, it is the only algorithm that successfully completes on the largest benchmark dataset.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="laboratory" xml:id="struct-1143673" status="VALID">
          <idno type="IdRef">250743736</idno>
          <orgName>Laboratoire de Recherche de l'EPITA</orgName>
          <orgName type="acronym">LRE</orgName>
          <date type="start">2022-09-01</date>
          <desc>
            <address>
              <addrLine>14-16, RUE VOLTAIRE94270 LE KREMLIN-BICÊTREFRANCE</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.lre.epita.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-305456" type="direct"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-2003" status="VALID">
          <idno type="IdRef">149705271</idno>
          <idno type="ISNI">0000000122577669</idno>
          <idno type="RNSR">200511875R</idno>
          <idno type="ROR">https://ror.org/04dv4he91</idno>
          <orgName>Laboratoire d'InfoRmatique en Image et Systèmes d'information</orgName>
          <orgName type="acronym">LIRIS</orgName>
          <date type="start">2003-01-01</date>
          <desc>
            <address>
              <addrLine>Bâtiment Blaise Pascal - 20, avenue Albert Einstein - 69621 Villeurbanne cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://liris.cnrs.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-33804" type="direct"/>
            <relation active="#struct-126765" type="direct"/>
            <relation active="#struct-301088" type="indirect"/>
            <relation active="#struct-194495" type="direct"/>
            <relation active="#struct-219748" type="direct"/>
            <relation active="#struct-301232" type="indirect"/>
            <relation name="UMR5205" active="#struct-441569" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-47709" status="VALID">
          <idno type="IdRef">027548325</idno>
          <idno type="ROR">https://ror.org/048tbm396</idno>
          <orgName>Università degli studi di Torino = University of Turin</orgName>
          <orgName type="acronym">UNITO</orgName>
          <date type="start">1404-01-01</date>
          <desc>
            <address>
              <addrLine>Via Verdi, 8 10124 Torino Italie</addrLine>
              <country key="IT"/>
            </address>
            <ref type="url">http://www.unito.it/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-305456" status="VALID">
          <orgName>Ecole Pour l'Informatique et les Techniques Avancées</orgName>
          <orgName type="acronym">EPITA</orgName>
          <date type="start">2016-11-23</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
          </desc>
        </org>
        <org type="institution" xml:id="struct-33804" status="VALID">
          <idno type="IdRef">02640334X</idno>
          <idno type="ISNI">0000 0001 2188 0906</idno>
          <idno type="ROR">https://ror.org/03rth4p18</idno>
          <idno type="Wikidata">Q4041</idno>
          <orgName>Université Lumière - Lyon 2</orgName>
          <orgName type="acronym">UL2</orgName>
          <desc>
            <address>
              <addrLine>86, rue Pasteur - 69007 Lyon</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.univ-lyon2.fr</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-126765" status="VALID">
          <idno type="ROR">https://ror.org/05s6rge65</idno>
          <orgName>École Centrale de Lyon</orgName>
          <orgName type="acronym">ECL</orgName>
          <desc>
            <address>
              <addrLine>36 avenue Guy de Collongue - 69134 Ecully cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.ec-lyon.fr</ref>
          </desc>
          <listRelation>
            <relation active="#struct-301088" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-301088" status="VALID">
          <idno type="ROR">https://ror.org/01rk35k63</idno>
          <orgName>Université de Lyon</orgName>
          <desc>
            <address>
              <addrLine>92 rue Pasteur - CS 30122, 69361 Lyon Cedex 07</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.universite-lyon.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-194495" status="VALID">
          <idno type="IdRef">026402823</idno>
          <idno type="ISNI">0000000121686185</idno>
          <idno type="ROR">https://ror.org/029brtt94</idno>
          <orgName>Université Claude Bernard Lyon 1</orgName>
          <orgName type="acronym">UCBL</orgName>
          <desc>
            <address>
              <addrLine>43, boulevard du 11 novembre 1918, 69622 Villeurbanne cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.univ-lyon1.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-301088" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-219748" status="VALID">
          <idno type="IdRef">052444724</idno>
          <idno type="ISNI">0000 0001 2292 0228</idno>
          <orgName>Institut National des Sciences Appliquées de Lyon</orgName>
          <orgName type="acronym">INSA Lyon</orgName>
          <date type="start">1957-03-18</date>
          <desc>
            <address>
              <addrLine>20 Avenue Albert Einstein, 69621 Villeurbanne cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.insa-lyon.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-301088" type="direct"/>
            <relation active="#struct-301232" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-301232" status="VALID">
          <idno type="IdRef">162105150</idno>
          <orgName>Institut National des Sciences Appliquées</orgName>
          <orgName type="acronym">INSA</orgName>
          <desc>
            <address>
              <country key="FR"/>
            </address>
          </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>
      <listOrg type="projects">
        <org type="anrProject" xml:id="projanr-171245" status="VALID">
          <idno type="anr">ANR-24-CE23-0950</idno>
          <orgName>PANDORA</orgName>
          <desc>Introspection de modèles GNN via l'apprentissage et l'exploitation de règles</desc>
          <date type="start">2024</date>
        </org>
        <org type="anrProject" xml:id="projanr-98330" status="VALID">
          <idno type="anr">ANR-22-PEAE-0008</idno>
          <orgName>WAIT4</orgName>
          <desc>Welfare: Artificial Intelligence and Technologies for Tracking key indicator Traits in animals facing the challenges of agro-ecological Transition</desc>
          <date type="start">2022</date>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>