[Sds-seminars] [Sds-announce] 10/5 at 4pm FDS Seminar: Rex Ying, “Graph Representation Learning: A Geometric Perspective”

[Dan Spielman]

Foundations of Data Science Seminar Series

Wednesday, October 5, 2022 - 4:00pm

*Speaker: Rex Ying*
Assistant Professor of Computer Science
*“Graph Representation Learning: A Geometric Perspective”*

*Location: *DL220

10 Hillhouse Avenue, New Haven, CT



In-person talk, but remote access available here:
https://yale.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=54684a12-8f27-4506-a30d-af1c0126145d

*Abstract:* The talk focuses on geometric embedding approaches to
representation learning on graph-structured data. We observe that certain
inductive biases of graph data, such as hierarchies and transitive
closures, can be modeled more effectively through different embedding
geometries. We leverage hyperbolic embeddings, cone embeddings and order
embeddings for incorporating these inductive biases of input graph data
when learning node and graph representations for large-scale, heterogeneous
graph data and challenging tasks.

*Speaker Bio:*  Rex Ying is an assistant professor in the Department of
Computer Science at Yale University. His research focus includes algorithms
for graph neural networks, geometric embeddings, and trustworthy ML on
graphs. He is the author of many widely used GNN algorithms such as
GraphSAGE, PinSAGE and GNNExplainer. In addition, Rex worked on a variety
of applications of graph learning in physical simulations, social networks,
NLP, knowledge graphs and biology. He developed the first billion-scale
graph embedding services at Pinterest, and the graph-based anomaly
detection algorithm at Amazon. He is the winner of the dissertation award
at KDD 2022.

Next week: 10/12 at 4pm Smita Krishnaswamy
<https://yale.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=7e3a4115-73f7-4205-976d-af1c01266047>





Emily E. H. Hau | Associate Director, Data Science @ Yale University

*Yale Institute for Foundations of Data Science (FDS)*

*Yale Institute for Network Science (YINS)*

17 Hillhouse Avenue | Room 341 | New Haven, CT 06511

*emily.hau at yale.edu <emily.hau at yale.edu> | *P: 203-436-4732

@yaledatascience @YINSedge @EmilyDeeganHau
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