Pengyu Zhang
Ph.D. student at INDElab, University of Amsterdam. Primarily focuses on enhancing Temporal Knowledge Graphs to better capture the dynamic nature of real-world entities and their relationships over time.
@yaakovepst.bsky.social
Head of Research at The Center for Combating Conversion Therapy. Anti-Zionist Israeli American Jew. Digital Sherlock at DFRLab. Former: Analyst & Head of Monitoring at Fake Reporter. National Leadership at Standing Together
@pascalwelke.bsky.social
Graph Machine Learning and Graph Mining Assistant Professor (Lecturer) in Data Science Lancaster University Leipzig https://pwelke.de
@manueldileo.bsky.social
PhD Student @ University of Milan. Network Science and Machine Learning on Temporal Graphs. Former visiting researcher at UoE and Google DSC Lead. Whovian
@unitediparty.bsky.social
HITLER 2.0 IS NOW HERE, FIGHT BACK LIKE YOUR LIFE DEPENDS ON IT BECAUSE IT DOES NOW!! Let's get United for a better World! Not a political party, yet. #resister #nevergiveup #fightfascism #equalrightsforall 💜❤️🔥 I AM here. Connecting you to other HUMANS❤️🔥💜
@llochridge.bsky.social
AI/ML Product Manager | Strategist | Technologist | AI Startup Founder | Innovation Architect [ GenAI | LLM | NLP | RecSys | CyberML | MLSys | MLOps | Data Science | AI Infra | Hyperscale ] @google | @amazon | ...
@shenyanghuangtg.bsky.social
PhD student at McGill University, Mila, studying temporal graph learning and graph representation learning.
@pietercolpaert.be
Professor #opendata, #linkeddata, #knowledgegraphs at #Ghent University Building Linked Data Event Streams Personal website: https://pietercolpaert.be Team website: https://knows.idlab.ugent.be/
@poasante.bsky.social
Researcher - Time Series | Graph Learning | Causality | Machine Learning
@silie.bsky.social
Postdoctoral researcher at KTH | got my PhD at Unipd | Interested in algorithms with graphs and probability 🎲 iliesarpe.github.io
@josti-official.bsky.social
Berlin based Phd student ML Interested in temporal graphs, predictions and PDEs
@icbinb.bsky.social
The ICBINB initiative is a movement within the ML community for well-executed meaningful research beyond bold numbers. The goals of the initiative are to crack open the research process, to re-value unexpected negative results. icbinb.cc
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app