https://wiki.devclub.in/index.php?action=history&feed=atom&title=AIL723 2026-05-27T02:34:37Z Revision history for this page on the wiki MediaWiki 1.45.1 https://wiki.devclub.in/index.php?title=AIL723&diff=2737&oldid=prev 2026-04-14T16:21:17Z

<p>Bot: wrap bare course codes in wikilinks</p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 16:21, 14 April 2026</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l4">Line 4:</td> <td colspan="2" class="diff-lineno">Line 4:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| credits = 4</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| credits = 4</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| credit_structure = 3-0-2</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| credit_structure = 3-0-2</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>| pre_requisites = ELL780 / ELL409 / ELL784 / AIL701 / COL774</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>| pre_requisites = <ins style="font-weight: bold; text-decoration: none;">[[</ins>ELL780<ins style="font-weight: bold; text-decoration: none;">]] </ins>/ <ins style="font-weight: bold; text-decoration: none;">[[</ins>ELL409<ins style="font-weight: bold; text-decoration: none;">]] </ins>/ <ins style="font-weight: bold; text-decoration: none;">[[</ins>ELL784<ins style="font-weight: bold; text-decoration: none;">]] </ins>/ <ins style="font-weight: bold; text-decoration: none;">[[</ins>AIL701<ins style="font-weight: bold; text-decoration: none;">]] </ins>/ <ins style="font-weight: bold; text-decoration: none;">[[</ins>COL774<ins style="font-weight: bold; text-decoration: none;">]]</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| overlaps =  </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>| overlaps =  </div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>}}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>}}</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== AIL723 : Graph Machine Learning ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== AIL723 : Graph Machine Learning ==</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>/ COL341 Introduction and Motivations for Machine Learning with Graphs, Graph and its Matrices, Graph Theory, Laplacian Matrix and Smoothness, Graph Learning from Data, Graph Embedding, Label Propagation, Courses of Study 2024-2025 Yardi School of Artificial Intelligence 348Manifold Regularization, semi-, un-, and supervised Learning with Graphs, Graph Data Mining, Deep Learning with Graphs.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>/ <ins style="font-weight: bold; text-decoration: none;">[[</ins>COL341<ins style="font-weight: bold; text-decoration: none;">]] </ins>Introduction and Motivations for Machine Learning with Graphs, Graph and its Matrices, Graph Theory, Laplacian Matrix and Smoothness, Graph Learning from Data, Graph Embedding, Label Propagation, Courses of Study 2024-2025 Yardi School of Artificial Intelligence 348Manifold Regularization, semi-, un-, and supervised Learning with Graphs, Graph Data Mining, Deep Learning with Graphs.</div></td></tr> </table>

DevanshKandpal https://wiki.devclub.in/index.php?title=AIL723&diff=2261&oldid=prev 2026-03-04T10:23:11Z

<p>Creating course page via bot</p> <p><b>New page</b></p><div>{{Infobox Course<br /> | code = AIL723<br /> | name = Graph Machine Learning<br /> | credits = 4<br /> | credit_structure = 3-0-2<br /> | pre_requisites = ELL780 / ELL409 / ELL784 / AIL701 / COL774<br /> | overlaps = <br /> }}<br /> <br /> == AIL723 : Graph Machine Learning ==<br /> / COL341 Introduction and Motivations for Machine Learning with Graphs, Graph and its Matrices, Graph Theory, Laplacian Matrix and Smoothness, Graph Learning from Data, Graph Embedding, Label Propagation, Courses of Study 2024-2025 Yardi School of Artificial Intelligence 348Manifold Regularization, semi-, un-, and supervised Learning with Graphs, Graph Data Mining, Deep Learning with Graphs.</div>

Prashantt492