PhD Student @ UFF. Graph Representation Learning Researcher "biased" towards Game Development and Analytics applications. Indie Developer (@origamiflight)
Proud to share our 150-page "proto-book" with @mmbronstein@joanbruna@TacoCohen on geometric DL! Through the lens of symmetries and invariances, we attempt to distill "all you need to build the architectures that are all you need".
https://t.co/CBN0IG8BXR
More info below! 🧵
By popular demand we are releasing lecture videos for Stanford CS224W Machine Learning with Graphs which focuses on graph representation learning. Two new lectures every week. Videos: https://t.co/wD286ewlzn
Syllabus: https://t.co/gkD71I61xW
Our workshop on Graph Learning Benchmarks (GLB'21) @TheWebConf is happening at 3-7:30pm CEST on Apr 16! The workshop is featured with 13 accepted papers, and an amazing line up of invited speakers, @jure and @leman_akoglu, and panelists, @guennemann, @YizhouSun, and @jietang.
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As part of our ongoing efforts to help surface fairness issues in #AI systems, we’ve open sourced a new data set of 45,186 videos to help evaluate fairness in #computervision and audio models across age, gender, apparent skin tone, & ambient lighting. https://t.co/kM5OBnwMEK
Yey, our paper "Heterogeneous Graph Dataset with Feature Set Intersection through Game Provenance" was accepted in the Graph Learning Benchmark Workshop and is already available on the workshop's homepage. You can check all the amazing works accepted here: https://t.co/zdkWxzWTcY
Don't paint me as an "angry Black woman" for whom you need "de-escalation strategies" for. This thread is just the beginning of the toxicity I dealt with since before I even joined Google and I haven't said anything specific yet. 1\ https://t.co/98WNgnxH6P
I make all the graphics in my papers (e.g. the one below) using TikZ. I'm pathologically bad at drawing, so programming my own figures is basically the only way to stay sane.
I open-source all of my figures' codes here:
https://t.co/YzX0JrnVpL
Feel free to re-use (w/ credit :) )
Are you a PhD student or an independent researcher who is working on creating a dataset?
@scale_ai will sponsor promising dataset creation projects that can widely benefit a community. Please DM me for details.
I understand you're annoyed about that rejection from NeurIPS. As an AC, I can confirm that I recommended rejection for a bunch of perfectly adequate papers. They were just not very exciting.
Yeeeah! My dissertation "Detecting long-range cause-and-effect relationships in game provenance graphs with graph-based representation learning" has been accepted for presentation at the Thesis and Dissertations Contest of SBGAMES 2020. Now, gotta work on a good presentation!
Last post in the @TDataScience series on expressive power of #graphneuralnet I suggest using metric geometry to address a broader setting than graph isomorphism. Next post: do we need deep #GNN on graphs?