Excited to present our work on Edge Aggregated GNN (EAGNN) for Cell Graph modeling and prediction @ipmi2023. Had an amazing audience asking excellent questions in the discussion session. Full paper available at: https://t.co/UTYXD0YWvO
#GNN#CellGraphs#DigitalPathology#GML
Super excited to present our recent work at #IPMI2023! We propose EAGNN (Edge Aggregated GNN), which aggregates node and edge features to take advantage of the tissue topology and facilitate edge label prediction for medical images.
@Karl_Meinke @RachaelVSugars@ipmi2023#GNN
Super excited to share that our paper - "A graph neural network framework for mapping histological topology in oral mucosal tissue" - got accepted and published in #BMCBioinformatics journal! A big thanks to @Karl_Meinke, @RachaelVSugars and the entire KI Team. #KTH#Karolinska
TeamShakti(@teamshakti06) The all-girls CTF team from India are organizing their first ever online CTF on 4th Dec 2020.
To stay up-to-date with the CTF please fill out: https://t.co/27rHd49yuM
#CTF#cybersecurity#ShaktiCTF
The first day is over! More than 1800 views and sessions with 130+ participants!!! Thanks to the entire @ESEM_conf community!!! See you tomorrow at 1.20pm CEST. #esem20 https://t.co/bF48f3s2qe
If you’re interested in knowing more how a test agent 🤖 could run a performance test, please check out our paper ”An Autonomous Performance Testing Framework using Self-Adaptive Fuzzy Reinforcement Learning" accepted in Software Quality Journal. @IVVESProject@TestomatProject
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale https://t.co/r5a0RuWyZE v cool. Further steps towards deprecating ConvNets with Transformers. Loving the increasing convergence of Vision/NLP and the much more efficient/flexible class of architectures.
Do not forget to vote for best partner project here:
https://t.co/E1UFyOcvKy
Click on the ENGLISH button if you need. Once you get the email with the URL to vote, the @TestomatProject project is all the way down, the 2nd last option before the send (verstuur) button.
TESTOMAT is approaching the end; an @ITEA_3 project with the aim of reaching the Next Level of Test Automation by furthering test development in DevOps and agile software development! Check out a demo of our research journey in TESTOMAT. https://t.co/xEJNCoHELG @TestomatProject
DGL v0.5 has been released! A major update with a focus on better documentation, GNN kernels, distributed training and so on. Read the summary of highlights: https://t.co/RYnuSkMI16
A short video summary of research results obtained at KTH Royal Insitute of Technology, Stockholm within the ITEA3 @TestomatProject in using graph neural networks to identify program similarity. @ESEM_conf#GraphNeuralNetwork#GNN
https://t.co/lf0kLjJYdG
https://t.co/pj93wrGAFm