Xiaowen Dong, Oxford University
Will present a talk entitled:
“Recent advances in learning with graphs”
Abstract: The effective representation, processing, analysis, and visualisation
of large-scale structured data, especially those related to complex
domains such as networks and graphs, are one of the key questions
in modern machine learning. Graph signal processing (GSP), a
vibrant branch of signal processing models and algorithms that aims
at handling data supported on graphs, opens new paths of research
to address this challenge, and has inspired the emerging field of
graph neural networks (GNNs). In this talk, I will provide a high-level
overview of GSP and GNNs, and discuss their applications in dealing
with graph-structured data in real-world scenarios.
Join Zoom Meeting
https://clarkson.zoom.us/j/98280404151?pwd=cE9UOW9JTjQ1bUdLWThkb2ROUGg3Zz09
Meeting ID: 982 8040 4151
Passcode: 219449
One tap mobile
+16468769923,,98280404151# US (New York)
+13126266799,,98280404151# US (Chicago)Date
Friday March 19, 2021
2:10 pm
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C3S2 Clarkson Center for Complex Systems Science l http://webspace.clarkson.edu/~ebollt/Website-C3S2/index.html
CLARKSON UNIVERSITY l Potsdam, New York 13699-5720
