[Lisa_seminaires] [Tea Talk] Petar Veličković (Cambridge / Mila) August 32018 10:30 AA3195

Michael Noukhovitch mnoukhov at gmail.com
Mar 31 Juil 16:12:45 EDT 2018


Correction for the streaming link
https://mila.bluejeans.com/809027115/webrtc

On Tue, Jul 31, 2018, 15:58 Michael Noukhovitch <mnoukhov at gmail.com> wrote:

> This week we have *Petar Veličković * from * Cambridge/Mila * giving a
> talk on *August 3rd 2018* at *10:30* in room *AA3195*
>
> Will this talk be streamed <https://mila.bluejeans.com/1365483656/webrtc>?
> yes
>
> Come to the talk and make sure to pay attention, because this talk should
> be great to connect the dots!
> Michael
>
> *TITLE* Keeping our graphs attentive
>
> *KEYWORDS *graph structured, attention, computational biology
>
> *ABSTRACT*
> A multitude of important real-world datasets (especially in biology) come
> together with some form of graph structure: social networks, citation
> networks, protein-protein interactions, brain connectome data, etc.
> Extending neural networks to be able to properly deal with this kind of
> data is therefore a very important direction for machine learning research,
> but one that has received comparatively rather low levels of attention
> until very recently. Attentional mechanisms represent a very promising
> direction for extending the established convolutional operator on images to
> work on arbitrary graphs, as they satisfy many of the desirable features
> for a convolutional operator. Through this talk, I will focus on my work on
> Graph Attention Networks (GATs), where these theoretical properties have
> been further validated by solid results on transductive as well as
> inductive node classification benchmarks. I will also outline some of the
> earlier efforts towards deploying attention-style operators on graph
> structures, as well as very exciting recent work that expands on GATs and
> deploys them in more general circumstances (such as EAGCN, DeepInf, and
> applications to solving the Travelling Salesman Problem). Time permitting,
> I will also present some of the relevant related graph-based work in the
> computational biology and medical imaging domains that I have been involved
> in.
>
> *BIO*
> Petar Veličković is currently a final-year PhD student in Machine Learning
> and Bioinformatics at the Department of Computer Science and Technology of
> the University of Cambridge. He also holds a BA degree in Computer Science
> from Cambridge, having completed the Computer Science Tripos in 2015. In
> addition, he has been involved in research placements at Nokia Bell Labs
> (working with Nicholas Lane) and the Montréal Institute of Learning
> Algorithms (working with Adriana Romero and Yoshua Bengio). His current
> research interests broadly involve devising neural network architectures
> that operate on nontrivially structured data (such as graphs), and their
> applications in bioinformatics and medicine. He has published his work in
> these areas at both machine learning venues (ICLR, NIPS ML4H, ICML WCB) and
> biomedical venues and journals (Bioinformatics, PervasiveHealth)
>
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