Want to know more about the effect of using multimodal biomedical embeddings for link prediction on a biomedical knowledge graph? 🤓🧪
Our work is published! https://t.co/7s9JrCF9pq
Shout out to my great collaborators: @danieldazac@thompijn@pmitra01@michaelcochez@pgroth 🎉
Our work on embedding multimodal biomedical knowledge graphs is now published at the Journal of Biomedical Semantics @BioMedCentral!
Read the paper here: https://t.co/IifHKrgFno
Our work on embedding multimodal biomedical knowledge graphs is now published at the Journal of Biomedical Semantics @BioMedCentral!
Read the paper here: https://t.co/IifHKrgFno
@mervenoyann One of the best examples I read once was talking about the usage of a "light-based distraction mechanism" in an experiment.
It was a lamp.
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. https://t.co/oPgRpSdp77
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
New preprint! We introduce BioBLP, a method for learning embeddings on multimodal knowledge graphs.
Paper: https://t.co/92TAkpOTRP
Code: https://t.co/deK9SlcO2L
w/ @DimitrisAlivas@pmitra01@thompijn@michaelcochez@pgroth
1/4
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: https://t.co/SMKzySdQyb
Code: https://t.co/yE9DQbwo1M
🧵1/10
@PhDemetri The question posed in a way that folks who will try both cannot really give a clear answer.
I will try mastodon but I can’t see myself not being here (for now) it’s still too damn interesting/addictive
@Ryiszz@tinucherian@elonmusk Well he did buy it with his own money.
Became the face of it in a way.
And “threw half of it” in the garbage given the recent layoffs etc
To prove a point about free speech.
“Lmao”