Mark Heimann

Graph machine learning researcher @Livermore_Lab. @UMich ‘20 PhD @WUSTL ‘15 AB/MS. Chess master and powerlifter.

[Mark Heimann @lastgoodcaesar]

Multilevel framework to improve accuracy and/or runtime of several network alignment algorithms. Great work during your time at @Livermore_Comp Jing! https://t.co/dm28Wc1s9Q

[Jing Zhu @JingZhu85095487]

We are presenting CAPER at #CIKM2022! Feel free to stop by 🙋

[Mark Heimann @lastgoodcaesar]

A great combination of theoretical analysis, examination of intuition from other domains, empirical insights, and new benchmarks for graph contrastive learning—all in one paper. Outstanding work led by Puja!

[Puja Trivedi @puja_computes]

New Paper Alert #NeurIPS2022: Self-supervised learning with discrete, structured data comes with some twists! In our paper, we explore how data-centric properties known to be crucial to success of visual CL can fail to hold for graph CL. 🧵Abs:https://t.co/VLlGt7Vu4I

[Jay Thiagarajan @jjayaram7]

2. We take a deep look into graph contrastive learning and find that data-centric properties known to be crucial to the success of visual CL can fail to hold for graph CL. Paper: https://t.co/9s3YabcWuw @puja_computes @lastgoodcaesar @EkdeepL @danaikoutra

[Mark Heimann @lastgoodcaesar]

@d_metaxa Hey, just wanted to say, as another early career CS researcher and powerlifter (also newbie climber!), you might enjoy Collective Strength. They have competition-grade PL equipment and an admirable ethos https://t.co/hX0hipcxBB

[Mark Heimann @lastgoodcaesar]

@rjurney Closest thing I know of is a new conference at the end of this year that's devoted to machine learning on graphs: https://t.co/WXLIJFVivV

[SIAM Data Mining @SIAMDataMining]

@luchengSRAI @fredmorstatter @hjagadish @liuhuan @Ilsebyl Our fourth tutorial is held by Mark Andrew Heimann, Junchen Jin and Danai Koutra (@danaikoutra). The tutorial is about

+++ Network Embedding for Role Discovery: Concepts, Tools, and Applications +++.

Link:
https://t.co/9KNcKz8RVg

[Mark Heimann @lastgoodcaesar]

@rtcraig3 To be precise, this is the highest form of grad school

[Mark Heimann @lastgoodcaesar]

To appear in TKDD!

[Mark Heimann @lastgoodcaesar]

Structural role-based node embedding: extensive benchmarks, insights, and easy-to-use codebase. Led by undergrad alum Junchen Jin whose organization awes me 🙂 with Di Jin and @danaikoutra.
https://t.co/KsNMOC5WHX
https://t.co/FljLFGOitZ

[Jiong Zhu (@[email protected]) @jiong971]

Thanks @tangjiliang for sharing this interesting and thought-provoking work. In light of these new findings, we revisit the problem of heterophily for GNNs and discuss the reasons behind the seemingly different takeaways from different works. Check it out:
https://t.co/08FvMGb59J

[Mark Heimann @lastgoodcaesar]

@QuestionofWhy I might also need to go to an actual barber for the first time in like 2 years lol

[Mark Heimann @lastgoodcaesar]

@SarahJabbour_ Congrats, and glad to hear the weights are such a great outlet during your PhD :) I don't know how to do cool barbell movements but otherwise I relate

[Mark Heimann @lastgoodcaesar]

@ElissaWelle I went through this too. So glad you're a) talking about it, and b) supporting others in similar places. And also glad you did stick around and produce some amazing work :)

[Mark Heimann @lastgoodcaesar]

@rtcraig3 what a legend to have one's name be sandwiched between Aquinas and Kierkegaard

[Mark Heimann @lastgoodcaesar]

@benrozemberczki @InfAtEd @GiulioRossetti @RikSarkarNet @EdiDataScience Congrats! You made a really nice body of research contributions and definitely deserved a smooth viva

[Mark Heimann @lastgoodcaesar]

@vagelispapalex @UCR_CSE @UCRBCOE @UCRiverside Congratulations!!

[Mark Heimann @lastgoodcaesar]

@abuyukcakir There are so many worthwhile paths to take in life with or without a PhD. I look forward to seeing which of them you'll take next! The potential is truly unbounded

[Mark Heimann @lastgoodcaesar]

@abuyukcakir Lol that guitar is yours to keep if you like! If not, of course it's a great idea to have it circle around the GEMS Lab a while longer (I hadn't even considered this but I love this idea too)

[Mark Heimann @lastgoodcaesar]

@michmer4 Congrats!

[Mark Heimann @lastgoodcaesar]

@JingZhu85095487 @DMthechemist In my brain, sooner or later every thought turns to food 😂

[Mark Heimann @lastgoodcaesar]

https://t.co/QuBGRnIdQx Use node proximities to learn embeddings modeling node proximity OR structural roles. Kind of like using 🍕dough to make 🍕OR cinnamon rolls. @JingZhu85095487 did an outstanding job on this project and will present it today at #SDM2021

[Mark Heimann @lastgoodcaesar]

@graph_ Nevertheless, congratulations on the defense of an impressive body of work for your PhD, Dr. Anton (oops, look what I did there, silly American that's me)