Updated ECML2023 tutorial's slides

Author: marshka

_tutorials/graph-based-processing/ecml-2023.html

@@ -47,6 +47,11 @@
                 benefit from the tutorial.
                 </p>
             </div>
+            <div class="col-lg-8 text-center">
+                <h1>Material</h1>
+                <p>Download the slides used in our tutorial.</p>
+                <a class="btn btn-primary" href="./gdl4sts_handout.pdf" role="button">Download slides</a>
+            </div>
         </div>
     </div>
 </section>
@@ -76,20 +81,6 @@
         </div>
     </div>
 </section>
-<!-- Material section-->
-<section>
-    <div class="container px-4">
-        <div class="row gx-4 justify-content-center">
-            <div class="col-lg-8 text-center">
-                <h1>Material</h1>
-                <p>Download the slides used in our tutorial.</p>
-                <a href="./gdl4sts_handout.pdf">
-                    <img src="{{site.url}}/assets/img/presentation-thumb.png" height="82px" />
-                </a>
-            </div>
-        </div>
-    </div>
-</section>
 <!-- Program section-->
 <section class="bg-light">
     <div class="container px-4">
@@ -139,8 +130,9 @@ <h5 class="mt-3 mb-2 fw-light"><span class="fw-bold me-2">Part 2</span> Challeng
                 </ol>
 
                 <h5 class="mt-3 mb-2 fw-light"><span class="fw-bold me-2">Demo</span> Coding Spatiotemporal GNNs.</h5>
-                <p>Overview of open-source Pytorch libraries for graph-based spatiotemporal data processing and short demo
-                with Torch Spatiotemporal.</p>
+                <p>Overview of open-source Pytorch libraries for graph-based spatiotemporal data processing and short
+                    demo
+                    with Torch Spatiotemporal.</p>
             </div>
         </div>
     </div>