@DimitrisAlivas

Student turned Data Scientist turned back to student. PhD candidate @VUAmsterdam & #DiscoveryLab, working on ML on graphs for hypothesis generation.

 Amsterdam, The Netherlands
dimitrisalivas.github.io/
Joined October 2017
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  • Followers100
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Want to know more about the effect of using multimodal biomedical embeddings for link prediction on a biomedical knowledge graph? 🤓🧪 Our work is published! doi.org/10.1186/s13326-023-0… Shout out to my great collaborators: @danieldazac @thompijn @pmitra01 @michaelcochez @pgroth 🎉

BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs

Journal of Biomedical Semantics - Knowledge graphs (KGs) are an important tool for representing complex relationships between entities in the biomedical domain. Several methods have been proposed...

link.springer.com
Daniel Daza@danieldazac20 Dec 2023
Our work on embedding multimodal biomedical knowledge graphs is now published at the Journal of Biomedical Semantics @BioMedCentral! Read the paper here: doi.org/10.1186/s13326-023-0…
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Dimitris Alivas retweeted
Daniel Daza@danieldazac20 Dec 2023
Our work on embedding multimodal biomedical knowledge graphs is now published at the Journal of Biomedical Semantics @BioMedCentral! Read the paper here: doi.org/10.1186/s13326-023-0…
Daniel Daza@danieldazac7 Jun 2023
New preprint! We introduce BioBLP, a method for learning embeddings on multimodal knowledge graphs. Paper: arxiv.org/abs/2306.03606 Code: github.com/elsevier-AI-Lab/B… w/ @DimitrisAlivas @pmitra01 @thompijn @michaelcochez @pgroth 1/4
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Michael Galkin@michael_galkin4 Aug 2023
The neural query answering crowd of @michaelcochez, @DimitrisAlivas, @_kire_kara_ , @BerrendorfMax, @danieldazac, @PMinervini, @Mniepert, @ren_hongyu, (and yours truly) contributed Chapter 17 about Approximate Answering of Graph Queries to this monumental book. Check it out!
Pascal Hitzler@pascalhitzler4 Aug 2023
The new edited book Compendium of Neurosymbolic Artificial Intelligence is now available - 30 chapters (700 pages), each conveying integrated content from several published papers of recent years. iospress.com/catalog/books/c…

Compendium of Neurosymbolic Artificial Intelligence | IOS Press

Compendium of Neurosymbolic Artificial Intelligence

iospress.com
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Be there folks!
Frank van Harmelen@FrankVanHarmele18 Jun 2023
Third of the Amsterdam FoMo lectures on Foundation Models: Tuesday June 20, 12:00, room L3.36, Lab42 at UvA. @Sel_Baez (VU) on Task-Specific Performance of LLMs and Francesco Manigrasso (Trento) on Neurosymbolic Integration of Reasoning and Learning. pbloem.github.io/fomo/

FoMo lectures

The FoMo lectures is a series of seminars highlighting the work being done in Amsterdam around foundation models.

pbloem.github.io
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What a journey. Finally it is out there! 🎉🎉 Very proud and very lucky to have been part of this team. So many interesting discussions and lots of development. @danieldazac @thompijn @pmitra01 @michaelcochez and @pgroth
Daniel Daza@danieldazac7 Jun 2023
New preprint! We introduce BioBLP, a method for learning embeddings on multimodal knowledge graphs. Paper: arxiv.org/abs/2306.03606 Code: github.com/elsevier-AI-Lab/B… w/ @DimitrisAlivas @pmitra01 @thompijn @michaelcochez @pgroth 1/4
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Jan-Christoph Kalo@JanCKalo10 Mar 2023
We are hiring! 🎓 Are you interested in working on the combination of Knowledge Graphs and Large Language Models with @FrankVanHarmele and me? Apply here for a PhD position at @VUamsterdam: workingat.vu.nl/ad/phd-posit… #knowledgegraphs #languagemodels #machinelearning
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Another amazing output by magic Mike and team! Congrats 🎉🍾 Also great to see there’s room for further research and improvement for inductive QA!
Michael Galkin@michael_galkin10 Nov 2022
Our new #NeurIPS2022 work on inductive query answering - new nodes at inference, complex queries over incomplete graphs, no node features, seems impossible? 🤔 With @zhu_zhaocheng @ren_hongyu @tangjianpku Paper: arxiv.org/abs/2210.08008 Code: github.com/DeepGraphLearning… 🧵1/10
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Dimitris Alivas retweeted
Denny Vrandečić@vrandezo29 Oct 2022
Today it's ten years since Wikidata had launched, October 29, 2012. A few memories. 1/
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Jan-Christoph Kalo is sharing his work on Prompting as Probing: Using Language Models for Knowledge Base Construction.#iswc_conf #iswc2022
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Dimitris Alivas retweeted
WikiResearch@WikiResearch30 Aug 2022
"Prompting as Probing: Using Language Models for Knowledge Base Construction" based on @wikidata (Alivanistos et al, 2022) arxiv.org/pdf/2208.11057.pdf @ThiviyanSingam @EmilevanKrieken @JanCKalo @michaelcochez
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Another win this summer! 🔥🔥🔥 A collaboration between the @krr_vu and @CLTLVU labs, where #NLProc meets #KnowledgeGraph It was super fun and enriching to work with @DimitrisAlivas @michaelcochez @EmilevanKrieken @JanCKalo and @ThiviyanSingam, thank you for the experience!!
Emile van Krieken@EmilevanKrieken24 Aug 2022
We are excited that our team won the @lm_kbc @iswc_conf 22 competition! We do Knowledge Base Construction using @OpenAI GPT-3. Our conclusion: Size gets you more than prompt engineering. arxiv.org/abs/2208.11057 (1/n)
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Winner winner chicken dinner 🎉🎉🍾🍾Congrats @Sel_Baez @EmilevanKrieken @ThiviyanSingam @michaelcochez and @JanCKalo
Emile van Krieken@EmilevanKrieken24 Aug 2022
We are excited that our team won the @lm_kbc @iswc_conf 22 competition! We do Knowledge Base Construction using @OpenAI GPT-3. Our conclusion: Size gets you more than prompt engineering. arxiv.org/abs/2208.11057 (1/n)
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So proud! Check out the work of @Sel_Baez if you are interested in a future where humans and robots co-exist and co-operate to improve our society!
Selene Baez Santamaria@Sel_Baez14 Jul 2022
Demo time! @LeoLaniVU showed the Minister @RHDijkgraaf how difficult it is to be a #robot 🤖 while @PiekVossen and I shared our research on building a #referenceMachine for #hybridIntelligence. Hit me up @CLTLVU if you want to check out this social robot 🤓
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Wanna work at the most exciting boundary in modern AI (combine machine learning and symbolic reasoning), and use it to improve drug safety for kidney patients, in a leading AI team, jointly with medical researchers? Apply for our PhD vacancy before 1 Sep! werkenbij.vu.nl/ad/phd-posit…
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Curious about our work on hyper-relational query embeddings /w StarQE? 🤔 Visit us in the #ICLR2022 poster session 11 (7:30 p.m CEST), Q/A and discussions! 🥳 😎 Link: iclr.cc/virtual/2022/poster/… Paper+code: github.com/DimitrisAlivas/St… @michael_galkin @michaelcochez @BerrendorfMax
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🥳🥳🎉🎉🍾🍾
Michael Galkin@michael_galkin20 Jan 2022
🎉 Glad to share the two accepts to #ICLR2022 🌟 StarQE - logic query answering on hyper-relational KGs xitter.cf/DimitrisAlivas/status/… 🍰 NodePiece - compositional tokenization for transductive and inductive learning on knowledge graphs xitter.cf/michael_galkin/status/… Updated pdfs coming!
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#hhai2022 Welcome to HHAI2022, the first conference in Hybrid Human Artificial Intelligence, which is going to take place in Amsterdam 13-17.June 2022. Watch this space.
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How to estimate gradients on stochastic computation graphs with low variance? Check out our poster @NeurIPSConf on our new framework & PyTorch library "Storchastic"! Thu 17:30 CET neurips.cc/virtual/2021/post… Paper: arxiv.org/abs/2104.00428 Library: github.com/HEmile/storchasti…
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omfg
Geoff Manaugh
@geoffmanaugh10 Aug 2017
Holy crap. Malware hidden in a strand of DNA hijacks the computer that analyzes that particular gene sequence. wired.com/story/malware-dna-…
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