Dimitris Alivas (@DimitrisAlivas) profile picture

Dimitris Alivas

@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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Photo by Dimitris Alivas (@DimitrisAlivas)Photo by Dimitris Alivas (@DimitrisAlivas)Photo by Dimitris Alivas (@DimitrisAlivas)Photo by Dimitris Alivas (@DimitrisAlivas)
Dimitris Alivas retweeted
Daniel Daza (@danieldazac) profile picture
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 (@danieldazac) profile pictureDaniel 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
Image from Daniel Daza (@danieldazac)
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Dimitris Alivas retweeted
Michael Galkin (@michael_galkin) profile picture
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 (@pascalhitzler) profile picturePascal 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 | IOS Press

Compendium of Neurosymbolic Artificial Intelligence

iospress.com
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Dimitris Alivas retweeted
Jan-Christoph Kalo (@JanCKalo) profile picture
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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Dimitris Alivas retweeted
Denny Vrandečić (@vrandezo) profile picture
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
Image from International Semantic Web Conference (@iswc_conf)
Image from International Semantic Web Conference (@iswc_conf)
Image from International Semantic Web Conference (@iswc_conf)
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Dimitris Alivas retweeted
WikiResearch (@WikiResearch) profile picture
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
Image from WikiResearch (@WikiResearch)
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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 (@EmilevanKrieken) profile pictureEmile 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)
Image from Emile van Krieken (@EmilevanKrieken)
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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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#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…
Image from Emile van Krieken (@EmilevanKrieken)
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Dimitris Alivas retweeted
Michael Galkin (@michael_galkin) profile picture
Michael Galkin@michael_galkin5 Aug 2021
#ACL2021NLP I compiled a *short* overview of ~30 #KnowledgeGraph papers presented at ACL'21 @aclmeeting - neural databases, retrieval, KG embeddings, entity linking, QA, a bunch of new datasets, and (of course) some memes ☺️ #ACL2021 #NLProc mgalkin.medium.com/knowledge…
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Ion Androutsopoulos (@ionandrou) profile picture
Ion Androutsopoulos@ionandrou2 Mar 2021
Fascinating! arxiv.org/abs/2102.12846
Image from Ion Androutsopoulos (@ionandrou)
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Dimitris Alivas retweeted
Michael Cochez (@michaelcochez) profile picture
Michael Cochez@michaelcochez18 Jan 2021
Are you interested in #ArtificialIntelligence ? Looking forward to working at the bleeding edge of the field? Not afraid of working with a mix of structured and unstructured data? Then apply as a #postdoc at our Discovery Lab! workingat.vu.nl/ad/postdocto…
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Dimitris Alivas retweeted
Albert Meroño (@albertmeronyo) profile picture
Albert Meroño@albertmeronyo6 Jun 2018
For the Linked Data music enthusiasts (and everybody else too!): you can find all MIDI Linked Data stuff at midi-ld.github.io #dhbenelux #eswc2018 #linkedconferences
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