[Sds-seminars] [Sds-announce] Rex Ying speaking Wednesday on "Graph Representation Learning: A Geometric Perspective"

[Dan Spielman]

Rex Ying (Yale CS) will be speaking on Wednesday at 4pm in DL220.

The title of his talk is "Graph Representation Learning: A Geometric
Perspective"

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.

More info, including the link to stream the talk, can be found at:
https://yins.yale.edu/event/fds-seminar-rex-ying
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