[AI Seminar Series] REMINDER: Seminar by Suqi Liu, tomorrow Friday March 6th, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Reminder for the AI Seminar tomorrow; please use the link below if you plan
to attend.
best,
V. Tsotras

--------------------------------------
On Sun, Mar 1, 2026 at 2:56 PM Vassilis Tsotras <vassilis.tsotras at ucr.edu>
wrote:

> The next AI Seminar will be on Friday March 6th, 12-1pm, in the MRB
> Seminar Room (1st floor).
>
> The talk will be given by *Prof. Suqi Liu*, Department of Statistics, UCR
>
> *** Pizza and refreshments will be provided ****
>
> To keep track of the number of attendees, please *register* at:
> https://www.eventbrite.com/e/ai-seminar-series-tickets-1984239271074
>
>
> TITLE: Graph Neural Network Meets Random Geometric Graph
>
> ABSTRACT:
> Graph neural networks (GNNs) have emerged as a powerful framework for
> learning from graph-structured data, yet their theoretical
> understanding—particularly regarding the behavior of different
> architectural choices across various graph-based tasks—remains limited. In
> parallel, random geometric graphs (RGGs) provide a well-defined
> probabilistic model that captures the interplay between geometry and
> connectivity in complex networks.
>
> In this talk, I will discuss several efforts I have undertaken to bridge
> these two perspectives by studying GNNs through the lens of RGGs. In the
> first part, I will focus on the classic graph matching problem and show
> that, by leveraging a specific GNN, perfect recovery can be achieved even
> in high-noise regimes. In the second part, I will briefly highlight recent
> work demonstrating the provable benefits of graph attention networks (GATs)
> for a node regression task. This talk is based on joint work with Morgane
> Austern, Kenny Gu, and Somak Laha.
>
>
> Bio:
> Suqi Liu is an Assistant Professor in the Department of Statistics at the
> University of California, Riverside. He received his Ph.D. in Operations
> Research and Financial Engineering from Princeton University. Prior to
> joining UCR, he was a Postdoctoral Research Fellow in Biomedical
> Informatics at Harvard University. His research interests lie at the
> intersection of probability, statistics, and artificial intelligence, with
> applications in biomedical sciences.
>
> ------------------------------------
> Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents
> speakers working on cutting edge Foundational AI or applying AI in their
> research. The goal of these seminars is to inform the UCR community about
> current trends in AI research and promote collaborations between faculty
> in this emerging field. These seminars are open to interested faculty and
> graduate/undergraduate students. Please forward this email to other
> colleagues or students in your lab that may be interested. After the
> seminar a discussion will follow for questions, open problems, ideas for
> possible collaborations etc.
>
> Sincerely,
> Vassilis Tsotras
> Professor, CSE Department
> co-Director, RAISE at UCR Institute
>
> Amit Roy-Chowdhury
> Professor, ECE Department
> co-Director, RAISE at UCR Institute
>
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