[CaCL] no cacl today (Fwd: Next Thrusday's Tutorial/Reading)

[Schuler, William]

Hi all,

David will not be able to present today, so let’s cancel cacl today and instead discuss this paper next week,

wm


Begin forwarded message:

From: "King, David L. via CaCL" <cacl at lists.osu.edu<mailto:cacl at lists.osu.edu>>
Subject: [CaCL] Next Thrusday's Tutorial/Reading
Date: January 24, 2019 at 2:10:11 PM EST
To: "cacl at ling.osu.edu<mailto:cacl at ling.osu.edu>" <cacl at lists.service.ohio-state.edu<mailto:cacl at lists.service.ohio-state.edu>>
Reply-To: "King, David L." <king.2138 at buckeyemail.osu.edu<mailto:king.2138 at buckeyemail.osu.edu>>

Hi all!
Next week we'll be looking at graph convolutional networks. I want to try and fit some general discussion of how they work and also go over the tutorial a little. Links below:
Modeling Relational Data with Graph Convolutional Networks & Tutorial: https://link.springer.com/chapter/10.1007/978-3-319-93417-4_38
[https://static-content.springer.com/cover/book/978-3-319-93417-4.jpg]<https://link.springer.com/chapter/10.1007/978-3-319-93417-4_38>

Modeling Relational Data with Graph Convolutional Networks | SpringerLink - link.springer.com<https://link.springer.com/chapter/10.1007/978-3-319-93417-4_38>
link.springer.com<http://link.springer.com/>
Acknowledgements. We would like to thank Diego Marcheggiani, Ethan Fetaya, and Christos Louizos for helpful discussions and comments. This project is supported by the European Research Council (ERC StG BroadSem 678254), the SAP Innovation Center Network and the Dutch National Science Foundation (NWO VIDI 639.022.518).



Tutorial: https://tkipf.github.io/graph-convolutional-networks/
Thanks, all!
--David

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