IMDB-BINARY Dataset | Papers With Code

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Source: [A simple yet effective baseline for non-attributed graph classification](https://arxiv.org/abs/1811.03508)</textarea> </div> </div> <div id="div_id_url" class="form-group"> <label for="id_url" class=""> Homepage URL (optional): </label> <div class=""> <input type="text" name="url" value="https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets" class="textinput textInput form-control" id="id_url"> </div> </div> <div id="div_id_paper" class="form-group"> <label for="id_paper" class=""> Paper where the dataset was introduced: </label> <div class=""> <select name="paper" style="width: 350px" class="modelselect2 form-control custom-select" id="id_paper" data-autocomplete-light-language="en" data-autocomplete-light-url="/sota/autocomplete/paper" data-autocomplete-light-function="select2"> <option value="">---------</option> <option value="152554" selected>Deep Graph Kernels</option> </select><div style="display:none" class="dal-forward-conf" 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data-allow-clear="false" style="width: 100%" class="modelselect2multiple form-control" id="id_variants" data-autocomplete-light-language="en" data-autocomplete-light-url="/dataset-autocomplete/" data-autocomplete-light-function="select2" multiple> <option value="811" selected>IMDb-B</option> <option value="3389" selected>IMDB-BINARY</option> </select><div style="display:none" class="dal-forward-conf" id="dal-forward-conf-for_id_variants"><script type="text/dal-forward-conf">[{"type": "const", "val": true, "dst": "disable_create_option"}]</script></div> </div> </div> <p> The benchmarks section lists all benchmarks using a given dataset or any of its variants. We use variants to distinguish between results evaluated on slightly different versions of the same dataset. For example, ImageNet 32⨉32 and ImageNet 64⨉64 are variants of the ImageNet dataset. </p> <div class="modal-footer"> <button type="submit" class="btn btn-primary" name="edit-variants"> Save </button> </div> </form> </div> </div> </div> </div>  <div class="modal fade" id="addRow" role="dialog" aria-labelledby="addRowLabel" aria-hidden="true"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <h5 class="modal-title" id="addRowLabel">Add a new evaluation result row</h5> <button type="button" class="close btn-close" data-bs-dismiss="modal" aria-label="Close"> <span aria-hidden="true">×</span> </button> </div> <form action="" method="post"> <div class="modal-body"> <input type="hidden" name="csrfmiddlewaretoken" value="mALwY2CbomWPwjzyBg3sYc2OhFnik6HmcBIQ6VdZXPq4kgEcHKeOA2RtNI5hEPUZ"> <div id="div_id_paper" class="form-group"> <label for="id_paper_add_row" class=" requiredField"> Paper title:<span class="asteriskField">*</span> </label> <div class=""> <select name="paper" id="id_paper_add_row" class="modelselect2 form-control" required data-autocomplete-light-language="en" data-autocomplete-light-url="/paper-autocomplete/" data-autocomplete-light-function="select2"> <option value="" selected>---------</option> </select> </div> </div> <div id="div_id_dataset" class="form-group"> <label for="id_dataset" class=" requiredField"> Dataset or its variant:<span class="asteriskField">*</span> </label> <div class=""> <select name="dataset" class="modelselect2 form-control" required id="id_dataset" data-autocomplete-light-language="en" data-autocomplete-light-url="/dataset-autocomplete/" data-autocomplete-light-function="select2"> <option value="">---------</option> <option value="3389" selected>IMDB-BINARY</option> </select> </div> </div> <div id="div_id_task" class="form-group"> <label for="id_task" class=" requiredField"> Task:<span class="asteriskField">*</span> </label> <div class=""> <select name="task" class="modelselect2 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</label> </div> </div> <div id="div_id_evaluated_on" class="form-group"> <label for="id_evaluated_on" class=""> Data evaluated on </label> <div class=""> <input type="text" name="evaluated_on" autocomplete="off" class="dateinput form-control" id="id_evaluated_on"> </div> </div> </div> <div class="modal-footer"> <button type="submit" class="btn btn-primary" name="add-row">Submit </button> </div> </form> </div> </div> </div> <div class="container content content-buffer "> <div class="mobile-width"> <div class="dataset-header"> <a href="/datasets?mod=graphs"> <span class="badge badge-primary"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="draw-polygon"><svg viewBox="0 0 448 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M384 353.998c35.35 0 64 28.65 63.99 64 0 35.35-28.65 64-64 64-23.63 0-44.03-12.95-55.12-32H119.12c-11.08 19.05-31.49 32-55.12 32-35.35 0-64-28.65-64-64 0-23.63 12.95-44.04 32-55.13v-209.75c-19.05-11.08-32-31.49-32-55.12 0-35.35 28.65-64 64-64 23.63 0 44.04 12.95 55.12 32h209.76c11.08-19.05 31.49-32 55.12-32 35.35 0 64 28.65 64 64s-28.65 64-64 64c-.35 0-.67-.09-1.02-.1l-39.2 65.32c5.08 9.17 8.22 19.56 8.22 30.78s-3.15 21.61-8.22 30.78l39.2 65.32c.35 0 .67-.1 1.02-.1zm-288 8.88c8.074 4.689 18.432 15.046 23.12 23.12h208.36l-38.46-64.1c-.35 0-.67.1-1.02.1-35.35 0-64-28.65-64-64s28.65-64 64-64c.35 0 .67.09 1.02.1l38.46-64.1H119.12c-4.69 8.073-15.048 18.43-23.12 23.12v209.76zm176-104.88c0 8.82 7.18 16 16 16s16-7.18 16-16-7.18-16-16-16-16 7.18-16 16zm128-160c0-8.82-7.18-16-16-16s-16 7.18-16 16 7.18 16 16 16 16-7.18 16-16zm-336-16c-8.82 0-16 7.18-16 16s7.18 16 16 16 16-7.18 16-16-7.18-16-16-16zm-16 336c0 8.82 7.18 16 16 16s16-7.18 16-16-7.18-16-16-16-16 7.18-16 16zm336 16c8.82 0 16-7.18 16-16s-7.18-16-16-16-16 7.18-16 16 7.18 16 16 16z"/></svg></span> <span>Graphs</span> </span> </a> </div> <div class="dataset-title mb-3"> <div class="row"> <div class="col-md-12"> <div class="float-right dataset-edit"> <div class="dropdown edit-button"> <a data-bs-toggle="modal" data-bs-target="#loginModal"> <span class="badge badge-method-edit" style="padding-top:10px;"><span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit</span> </a> </div> </div> <h1 > IMDB-BINARY </h1> <span class="dataset-subtitle">Introduced by Yanardag et al. in <a href="/paper/deep-graph-kernels">Deep Graph Kernels</a></span> </div> </div> </div> <div class="d-md-none mb-3"> <a href="https://production-assets.paperswithcode.com/perf/images/default_dataset-efab89e8.jpeg" data-lightbox="imageresource-mobile"> <img id="imageresource-mobile" class="d-md-none" src="https://production-assets.paperswithcode.com/perf/images/default_dataset-efab89e8.jpeg"> </a> </div> <div class="dataset-content"> <div class="row"> <div class="col-md-9 description"> <div class="description-content"> <p><strong>IMDB-BINARY</strong> is a movie collaboration dataset that consists of the ego-networks of 1,000 actors/actresses who played roles in movies in IMDB. In each graph, nodes represent actors/actress, and there is an edge between them if they appear in the same movie. These graphs are derived from the Action and Romance genres.</p> <span class="description-source"> Source: <a href="https://arxiv.org/abs/1811.03508"><span class=" icon-wrapper icon-ion" data-name="document-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M416 221.25V416a48 48 0 0 1-48 48H144a48 48 0 0 1-48-48V96a48 48 0 0 1 48-48h98.75a32 32 0 0 1 22.62 9.37l141.26 141.26a32 32 0 0 1 9.37 22.62z" fill="none" stroke="#000" stroke-linejoin="round" stroke-width="32"/><path d="M256 56v120a32 32 0 0 0 32 32h120" fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32"/></svg></span> A simple yet effective baseline for non-attributed graph classification</a> </span> </div> <div class="context"> <div class="row"> <div class="col-md-12"> <a href="https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets" onclick="captureOutboundLink('https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets'); return true;" class="btn btn-primary-outline dataset-homepage"> Homepage </a> </div> </div> </div> <div id="benchmarks" class="collapsed"> <h4>Benchmarks <div class="float-right"> <div class="dropdown edit-button"> <button class="dropdown-toggle badge badge-edit" type="button" id="evalEditMenu" data-bs-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit </button> <div class="dropdown-menu dropdown-menu-end" aria-labelledby="evalEditMenu"> <a class="dropdown-item" href="#loginModal" data-bs-toggle="modal"> <span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"/></svg></span> Add a new result</a> <a class="dropdown-item" href="#loginModal" data-bs-toggle="modal"> <span class=" icon-wrapper icon-ion" data-name="create-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M384 224v184a40 40 0 0 1-40 40H104a40 40 0 0 1-40-40V168a40 40 0 0 1 40-40h167.48" fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32"/><path d="M459.94 53.25a16.06 16.06 0 0 0-23.22-.56L424.35 65a8 8 0 0 0 0 11.31l11.34 11.32a8 8 0 0 0 11.34 0l12.06-12c6.1-6.09 6.67-16.01.85-22.38zM399.34 90L218.82 270.2a9 9 0 0 0-2.31 3.93L208.16 299a3.91 3.91 0 0 0 4.86 4.86l24.85-8.35a9 9 0 0 0 3.93-2.31L422 112.66a9 9 0 0 0 0-12.66l-9.95-10a9 9 0 0 0-12.71 0z"/></svg></span> Link an existing benchmark</a> </div> </div> </div> </h4> <hr> <div class="sota-table-preview"> <table id="benchmarks-table" class="table-striped"> <thead> <tr> <th>Trend</th> <th>Task</th> <th>Dataset Variant</th> <th>Best Model</th> <th>Paper</th> <th>Code</th> </tr> </thead> <tbody> <tr onclick="window.location='/sota/graph-classification-on-imdb-b';"> <td> <a href="/sota/graph-classification-on-imdb-b"> <img class="sota-thumb" src="https://production-media.paperswithcode.com/sota-thumbs/graph-classification-on-imdb-b-small_046850af.png"/> </a> </td> <td> <div class="task black-links"> <a style="font-weight: 600;" href="/sota/graph-classification-on-imdb-b"> Graph Classification </a> </div> </td> <td> <div style="font-weight: 500;"> IMDb-B </div> </td> <td> <div class="method-name" style="font-weight: 500;"> U2GNN </div> </td> <td> <div class="text-center paper"> <a href="/paper/unsupervised-universal-self-attention-network"> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> </a> </div> </td> <td> <div class="text-center github"><a href="/paper/unsupervised-universal-self-attention-network#code"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 363.1 480 261.7 480 134.9 379.7 32 256 32z"/></svg></span> </a></div> </td> </tr> <tr onclick="window.location='/sota/graph-classification-on-imdb-binary';"> <td> <a href="/sota/graph-classification-on-imdb-binary"> <img class="sota-thumb" src="https://production-media.paperswithcode.com/sota-thumbs/graph-classification-on-imdb-binary-small_ae860993.png"/> </a> </td> <td> <div class="task black-links"> <a style="font-weight: 600;" href="/sota/graph-classification-on-imdb-binary"> Graph Classification </a> </div> </td> <td> <div style="font-weight: 500;"> IMDB-BINARY </div> </td> <td> <div class="method-name" style="font-weight: 500;"> GIN + PANDA </div> </td> <td> <div class="text-center paper"> <a href="/paper/panda-expanded-width-aware-message-passing"> <span class=" icon-wrapper icon-ion" data-name="document"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M428 224H288a48 48 0 0 1-48-48V36a4 4 0 0 0-4-4h-92a64 64 0 0 0-64 64v320a64 64 0 0 0 64 64h224a64 64 0 0 0 64-64V228a4 4 0 0 0-4-4z"/><path d="M419.22 188.59L275.41 44.78a2 2 0 0 0-3.41 1.41V176a16 16 0 0 0 16 16h129.81a2 2 0 0 0 1.41-3.41z"/></svg></span> </a> </div> </td> <td> <div class="text-center github"><a href="/paper/panda-expanded-width-aware-message-passing#code"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 4.5 55 2.2 60.8 14.3 16.1 23 36.6 23 61.6 0 88.2-52.4 107.6-102.3 113.3 8 7.1 15.2 21.1 15.2 42.5 0 30.7-.3 55.5-.3 63 0 5.4 3.1 11.5 11.4 11.5a19.35 19.35 0 0 0 4-.4C415.9 449.2 480 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onclick="captureOutboundLink('https://pytorch-geometric.readthedocs.io/en/latest/generated/torch_geometric.datasets.TUDataset.html#torch_geometric.datasets.TUDataset'); return true;" target="_blank">  <div class="dataloader-logo text-center"> <span class="img-icon-github"> <span class=" icon-wrapper icon-ion" data-name="logo-github"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M256 32C132.3 32 32 134.9 32 261.7c0 101.5 64.2 187.5 153.2 217.9a17.56 17.56 0 0 0 3.8.4c8.3 0 11.5-6.1 11.5-11.4 0-5.5-.2-19.9-.3-39.1a102.4 102.4 0 0 1-22.6 2.7c-43.1 0-52.9-33.5-52.9-33.5-10.2-26.5-24.9-33.6-24.9-33.6-19.5-13.7-.1-14.1 1.4-14.1h.1c22.5 2 34.3 23.8 34.3 23.8 11.2 19.6 26.2 25.1 39.6 25.1a63 63 0 0 0 25.6-6c2-14.8 7.8-24.9 14.2-30.7-49.7-5.8-102-25.5-102-113.5 0-25.1 8.7-45.6 23-61.6-2.3-5.8-10-29.2 2.2-60.8a18.64 18.64 0 0 1 5-.5c8.1 0 26.4 3.1 56.6 24.1a208.21 208.21 0 0 1 112.2 0c30.2-21 48.5-24.1 56.6-24.1a18.64 18.64 0 0 1 5 .5c12.2 31.6 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/> <img class="" 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/> </div> </div> </div> <div class="row"> <div class="col-md-7"> <div class="datal-impl-cell"> <a class="code-table-link" href="https://graphneural.network/datasets/#tudataset" onclick="captureOutboundLink('https://graphneural.network/datasets/#tudataset'); return true;" target="_blank">  <div class="dataloader-logo text-center"> <img class="img-icon" src="https://production-assets.paperswithcode.com/perf/images/frameworks/spektral-c79013dc.png" /> </div> danielegrattarola/spektral </a> </div> </div> <div class="col-3"> <div class="datal-impl-cell text-nowrap"> <span class=" icon-wrapper icon-ion" data-name="star"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path d="M394 480a16 16 0 0 1-9.39-3L256 383.76 127.39 477a16 16 0 0 1-24.55-18.08L153 310.35 23 221.2a16 16 0 0 1 9-29.2h160.38l48.4-148.95a16 16 0 0 1 30.44 0l48.4 149H480a16 16 0 0 1 9.05 29.2L359 310.35l50.13 148.53A16 16 0 0 1 394 480z"/></svg></span> 2,372 </div> </div> <div class="col-md-2"> <div class="datal-impl-cell framework-logos"> <img class="" src="data:image/png;base64,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" /> </div> </div> </div> </ul> </div> </div> </div> <div class="collections"> <h4> Tasks <div class="float-right"> <div class="dropdown edit-button" style="position: relative; top: -5px"> <button class="badge badge-edit" type="button" data-bs-target="#loginModal" data-bs-toggle="modal" aria-haspopup="true" aria-expanded="false"> <span class=" icon-wrapper icon-fa icon-fa-solid" data-name="edit"><svg viewBox="0 0 576 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M402.6 85.198l90.2 90.2c3.8 3.8 3.8 10 0 13.8l-218.399 218.4-92.8 10.3c-12.4 1.4-22.9-9.1-21.5-21.5l10.3-92.8 218.4-218.4c3.799-3.8 10-3.8 13.799 0zm162-22.9c15.2 15.2 15.2 39.9 0 55.2l-35.4 35.4c-3.8 3.8-10 3.8-13.8 0l-90.2-90.2c-3.8-3.8-3.8-10 0-13.8l35.4-35.4c15.3-15.2 40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit </button> </div> </h4> <hr> </div> <div class="row"> <div class="col-md-12"> <ul class="list-unstyled"> <li> <a href="/task/graph-classification"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/thumbnails/task/2ea42743-71c0-4f81-995d-ce9dc4bd63b0.jpg"> <span>Graph Classification</span> </span> </a> </li> <li> <a href="/task/graph-representation-learning"> <span class="badge badge-primary"> <img src="https://production-media.paperswithcode.com/tasks/default.gif"> <span>Graph Representation Learning</span> </span> </a> </li> </ul> </div> </div> <div class="dataset-similar"> <h4> Similar Datasets </h4> <hr> </div> <div class="row"> <div class="col dataset-similar"> <div class="row"> <div class="col-md-12 featured-dataset"> <div class="card-deck card-break" style="margin-bottom:20px;"> <div class="card" style="min-height:120px"> <a href="/dataset/mutag"> <div class="row"> <div class="col-lg-12"> <div class="item-image" style="background-color: #90B06D;opacity: 0.3;"> <span class="dataset-img-icon"><span class=" icon-wrapper icon-fa icon-fa-solid" data-name="draw-polygon"><svg viewBox="0 0 448 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M384 353.998c35.35 0 64 28.65 63.99 64 0 35.35-28.65 64-64 64-23.63 0-44.03-12.95-55.12-32H119.12c-11.08 19.05-31.49 32-55.12 32-35.35 0-64-28.65-64-64 0-23.63 12.95-44.04 32-55.13v-209.75c-19.05-11.08-32-31.49-32-55.12 0-35.35 28.65-64 64-64 23.63 0 44.04 12.95 55.12 32h209.76c11.08-19.05 31.49-32 55.12-32 35.35 0 64 28.65 64 64s-28.65 64-64 64c-.35 0-.67-.09-1.02-.1l-39.2 65.32c5.08 9.17 8.22 19.56 8.22 30.78s-3.15 21.61-8.22 30.78l39.2 65.32c.35 0 .67-.1 1.02-.1zm-288 8.88c8.074 4.689 18.432 15.046 23.12 23.12h208.36l-38.46-64.1c-.35 0-.67.1-1.02.1-35.35 0-64-28.65-64-64s28.65-64 64-64c.35 0 .67.09 1.02.1l38.46-64.1H119.12c-4.69 8.073-15.048 18.43-23.12 23.12v209.76zm176-104.88c0 8.82 7.18 16 16 16s16-7.18 16-16-7.18-16-16-16-16 7.18-16 16zm128-160c0-8.82-7.18-16-16-16s-16 7.18-16 16 7.18 16 16 16 16-7.18 16-16zm-336-16c-8.82 0-16 7.18-16 16s7.18 16 16 16 16-7.18 16-16-7.18-16-16-16zm-16 336c0 8.82 7.18 16 16 16s16-7.18 16-16-7.18-16-16-16-16 7.18-16 16zm336 16c8.82 0 16-7.18 16-16s-7.18-16-16-16-16 7.18-16 16 7.18 16 16 16z"/></svg></span></span> <span class="dataset-img-text">MUTAG</span> </div> </div> </div> <div class=row"> <h1>MUTAG</h1> </div> </a> </div> <div class="card" style="min-height:120px"> <a href="/dataset/reddit-binary"> <div class="row"> <div class="col-lg-12"> <div class="item-image" style="background-color: #90B06D;opacity: 0.3;"> <span class="dataset-img-icon"><span class=" icon-wrapper icon-fa icon-fa-solid" data-name="draw-polygon"><svg viewBox="0 0 448 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M384 353.998c35.35 0 64 28.65 63.99 64 0 35.35-28.65 64-64 64-23.63 0-44.03-12.95-55.12-32H119.12c-11.08 19.05-31.49 32-55.12 32-35.35 0-64-28.65-64-64 0-23.63 12.95-44.04 32-55.13v-209.75c-19.05-11.08-32-31.49-32-55.12 0-35.35 28.65-64 64-64 23.63 0 44.04 12.95 55.12 32h209.76c11.08-19.05 31.49-32 55.12-32 35.35 0 64 28.65 64 64s-28.65 64-64 64c-.35 0-.67-.09-1.02-.1l-39.2 65.32c5.08 9.17 8.22 19.56 8.22 30.78s-3.15 21.61-8.22 30.78l39.2 65.32c.35 0 .67-.1 1.02-.1zm-288 8.88c8.074 4.689 18.432 15.046 23.12 23.12h208.36l-38.46-64.1c-.35 0-.67.1-1.02.1-35.35 0-64-28.65-64-64s28.65-64 64-64c.35 0 .67.09 1.02.1l38.46-64.1H119.12c-4.69 8.073-15.048 18.43-23.12 23.12v209.76zm176-104.88c0 8.82 7.18 16 16 16s16-7.18 16-16-7.18-16-16-16-16 7.18-16 16zm128-160c0-8.82-7.18-16-16-16s-16 7.18-16 16 7.18 16 16 16 16-7.18 16-16zm-336-16c-8.82 0-16 7.18-16 16s7.18 16 16 16 16-7.18 16-16-7.18-16-16-16zm-16 336c0 8.82 7.18 16 16 16s16-7.18 16-16-7.18-16-16-16-16 7.18-16 16zm336 16c8.82 0 16-7.18 16-16s-7.18-16-16-16-16 7.18-16 16 7.18 16 16 16z"/></svg></span></span> <span class="dataset-img-text">REDDIT-BINARY</span> </div> </div> </div> <div class=row"> <h1>REDDIT-BINARY</h1> </div> </a> </div> <div class="card" style="min-height:120px"> <a href="/dataset/proteins"> <div class="row"> <div class="col-lg-12"> <div class="item-image" style="background-color: #90B06D;opacity: 0.3;"> <span class="dataset-img-icon"><span class=" icon-wrapper icon-fa icon-fa-solid" data-name="draw-polygon"><svg viewBox="0 0 448 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M384 353.998c35.35 0 64 28.65 63.99 64 0 35.35-28.65 64-64 64-23.63 0-44.03-12.95-55.12-32H119.12c-11.08 19.05-31.49 32-55.12 32-35.35 0-64-28.65-64-64 0-23.63 12.95-44.04 32-55.13v-209.75c-19.05-11.08-32-31.49-32-55.12 0-35.35 28.65-64 64-64 23.63 0 44.04 12.95 55.12 32h209.76c11.08-19.05 31.49-32 55.12-32 35.35 0 64 28.65 64 64s-28.65 64-64 64c-.35 0-.67-.09-1.02-.1l-39.2 65.32c5.08 9.17 8.22 19.56 8.22 30.78s-3.15 21.61-8.22 30.78l39.2 65.32c.35 0 .67-.1 1.02-.1zm-288 8.88c8.074 4.689 18.432 15.046 23.12 23.12h208.36l-38.46-64.1c-.35 0-.67.1-1.02.1-35.35 0-64-28.65-64-64s28.65-64 64-64c.35 0 .67.09 1.02.1l38.46-64.1H119.12c-4.69 8.073-15.048 18.43-23.12 23.12v209.76zm176-104.88c0 8.82 7.18 16 16 16s16-7.18 16-16-7.18-16-16-16-16 7.18-16 16zm128-160c0-8.82-7.18-16-16-16s-16 7.18-16 16 7.18 16 16 16 16-7.18 16-16zm-336-16c-8.82 0-16 7.18-16 16s7.18 16 16 16 16-7.18 16-16-7.18-16-16-16zm-16 336c0 8.82 7.18 16 16 16s16-7.18 16-16-7.18-16-16-16-16 7.18-16 16zm336 16c8.82 0 16-7.18 16-16s-7.18-16-16-16-16 7.18-16 16 7.18 16 16 16z"/></svg></span></span> <span class="dataset-img-text">PROTEINS</span> </div> </div> </div> <div class=row"> <h1>PROTEINS</h1> </div> </a> </div> <div class="card" style="min-height:120px"> <a href="/dataset/collab"> <div class="row"> <div class="col-lg-12"> <div class="item-image" style="background-color: #90B06D;opacity: 0.3;"> <span class="dataset-img-icon"><span class=" icon-wrapper icon-fa icon-fa-solid" data-name="draw-polygon"><svg viewBox="0 0 448 514.999" xmlns="http://www.w3.org/2000/svg"><path d="M384 353.998c35.35 0 64 28.65 63.99 64 0 35.35-28.65 64-64 64-23.63 0-44.03-12.95-55.12-32H119.12c-11.08 19.05-31.49 32-55.12 32-35.35 0-64-28.65-64-64 0-23.63 12.95-44.04 32-55.13v-209.75c-19.05-11.08-32-31.49-32-55.12 0-35.35 28.65-64 64-64 23.63 0 44.04 12.95 55.12 32h209.76c11.08-19.05 31.49-32 55.12-32 35.35 0 64 28.65 64 64s-28.65 64-64 64c-.35 0-.67-.09-1.02-.1l-39.2 65.32c5.08 9.17 8.22 19.56 8.22 30.78s-3.15 21.61-8.22 30.78l39.2 65.32c.35 0 .67-.1 1.02-.1zm-288 8.88c8.074 4.689 18.432 15.046 23.12 23.12h208.36l-38.46-64.1c-.35 0-.67.1-1.02.1-35.35 0-64-28.65-64-64s28.65-64 64-64c.35 0 .67.09 1.02.1l38.46-64.1H119.12c-4.69 8.073-15.048 18.43-23.12 23.12v209.76zm176-104.88c0 8.82 7.18 16 16 16s16-7.18 16-16-7.18-16-16-16-16 7.18-16 16zm128-160c0-8.82-7.18-16-16-16s-16 7.18-16 16 7.18 16 16 16 16-7.18 16-16zm-336-16c-8.82 0-16 7.18-16 16s7.18 16 16 16 16-7.18 16-16-7.18-16-16-16zm-16 336c0 8.82 7.18 16 16 16s16-7.18 16-16-7.18-16-16-16-16 7.18-16 16zm336 16c8.82 0 16-7.18 16-16s-7.18-16-16-16-16 7.18-16 16 7.18 16 16 16z"/></svg></span></span> <span class="dataset-img-text">COLLAB</span> </div> </div> </div> <div class=row"> <h1>COLLAB</h1> </div> </a> </div> </div> </div> </div> </div> </div> </div> <div class="col-md-3 dataset-infobox"> <div id="trends"> <h4>Usage <span data-bs-toggle="tooltip" data-bs-placement="top" data-bs-trigger="hover" title="Approximate number of open-access papers mentioning the dataset in the last five years." style="font-size: 16px; vertical-align: text-bottom; color: #444;" > <span class=" icon-wrapper icon-ion" data-name="flask-outline"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-miterlimit="10" stroke-width="32" d="M176 48h160M118 304h276M208 48v93.48a64.09 64.09 0 0 1-9.88 34.18L73.21 373.49C48.4 412.78 76.63 464 123.08 464h265.84c46.45 0 74.68-51.22 49.87-90.51L313.87 175.66a64.09 64.09 0 0 1-9.87-34.18V48"/></svg></span> </span> </h4> <hr> <figure 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40-15.2 55.2 0zM384 348.198c0-3.2 1.3-6.2 3.5-8.5l40-40c7.6-7.5 20.5-2.2 20.5 8.5v157.8c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48v-352c0-26.5 21.5-48 48-48h285.8c10.7 0 16.1 12.9 8.5 20.5l-40 40c-2.3 2.2-5.3 3.5-8.5 3.5H64v320h320v-101.8z"/></svg></span> Edit </button> </div> </h4> <hr> </div> <div class="row"> <div class="col-md-12"> <ul class="list-unstyled"> </ul> </div> </div> </div> </div> <div id="tasks"> </div> </div> </div> <script id="time_series_data" type="application/json">[{"name": "IMDB-BINARY", "data": [{"time": "2020-01-01", "prop": 41}, {"time": "2021-01-01", "prop": 68}, {"time": "2022-01-01", "prop": 41}, {"time": "2023-01-01", "prop": 55}, {"time": "2024-01-01", "prop": 43}]}, {"name": "MUTAG", "data": [{"time": "2020-01-01", "prop": 27}, {"time": "2021-01-01", "prop": 49}, {"time": "2022-01-01", "prop": 37}, {"time": "2023-01-01", "prop": 47}, {"time": "2024-01-01", "prop": 27}]}, {"name": "REDDIT-BINARY", "data": [{"time": "2020-01-01", "prop": 20}, {"time": 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