-
Notifications
You must be signed in to change notification settings - Fork 3
/
research_interests.html
65 lines (61 loc) · 2.31 KB
/
research_interests.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN"
"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">
<head>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-127118448-1"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-127118448-1');
</script>
<meta name="generator" content="jemdoc, see http://jemdoc.jaboc.net/" />
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<link rel="stylesheet" href="jemdoc.css" type="text/css" />
<link rel="shortcut icon" type="image/x-icon" href="favicon.ico" />
<title>Research Interests </title>
</head>
<body>
<table summary="Table for page layout." id="tlayout">
<tr valign="top">
<td id="layout-menu">
<div class="menu-category">Home</div>
<div class="menu-item"><a href="index.html" >About me</a></div>
<div class="menu-item"><a href="research_interests.html" class="current">Research Interests</a></div>
<div class="menu-item"><a href="Professional Activities.html">Professional Activities</a></div>
<div class="menu-category">Research</div>
<div class="menu-item"><a href="publications.html">Publications</a></div>
<div class="menu-item"><a href="patents.html">Patents</a></div>
<div class="menu-item"><a href="RES Project&Founding.html">Projects&Funding</a></div>
<div class="menu-category">My Lab</div>
<div class="menu-item"><a href="graphme.github.io">GraphME</a></div>
</td>
<td id="layout-content">
<div id="toptitle">
<h1>Research Interests </h1>
</div>
<ul>
<li>Graph Neural Networks (GNNs), Graph Representation Learning, Graph Data Mining</li>
<br />
<li>Geometric Deep Learning (GDL), Deep Learning for Graphs, Deep Neural Networks on Graphs</li>
<br />
<li>Hypergraph neural networks, Hypergraph learning, Data mining on hypergraphs</li>
<br />
<li>Graph Signal Processing for Machine Learning</li>
<br />
<li>Learning Theory for (Graph) Neural Networks</li>
<br />
<li>Neural Networks with Random Weights (NNRWs), Random Features</li>
<br />
<li>Intelligent Education Technologies and Applications</li>
<br />
<li>Educational Data Mining (EDM)</li>
<br />
<li>AR, VR, MR, XR for Education</li>
</ul>
</td>
</tr>
</table>
</body>
</html>