Presented By: The Center for the Study of Complex Systems
Complex Systems Seminar | The unreasonable effectiveness of neural graph embedding
Yong-Yeol “YY” Ahn, Informatics, Computing, and Engineering Indiana University Bloomington
ROOM 747 Weiser Hall
This talk will be hybrid.
ZOOM https://umich.zoom.us/j/96616169868
Password: CSCS (all caps)
Abstract: Graph embedding, or graph representation learning, emerged as an effective, unifying framework to perform numerous machine learning tasks with network data. In this talk, I will discuss how and why one of the most basic graph embedding techniques, node2vec (or word2vec with random walks), works so well, in connection with the theory of random walks and community detection in network science.
October 26, 2022 article https://news.luddy.indiana.edu/story.html?story=Ahn-receives-a-grant-to-help-secure-critical-technologies
This talk will be hybrid.
ZOOM https://umich.zoom.us/j/96616169868
Password: CSCS (all caps)
Abstract: Graph embedding, or graph representation learning, emerged as an effective, unifying framework to perform numerous machine learning tasks with network data. In this talk, I will discuss how and why one of the most basic graph embedding techniques, node2vec (or word2vec with random walks), works so well, in connection with the theory of random walks and community detection in network science.
October 26, 2022 article https://news.luddy.indiana.edu/story.html?story=Ahn-receives-a-grant-to-help-secure-critical-technologies
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