이준석

[Petar Veličković @PetarV_93]

Very cool work published in @NatMachIntell using graph ML for gene expression imputation! 🧬🕸️

Ramon, @chaitjo & @DobrikG are key contributors of the method -- all part of my advisor (@pl219_Cambridge)'s lab @Cambridge_CL. Congrats guys!! 🎉

https://t.co/xF5EgaEjhB

[이준석 @ljs960207]

More details about our work can be found on

paper : https://t.co/qAlA7I5fLR
codes : https://t.co/cGmAKCX7nP

[이준석 @ljs960207]

Glad to share our work 'GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment' accepted at #SIGIR2022(Short paper).
Thanks for my professor @cypark424 and co-workers(Yunhak Oh, @yeonjun_in, @namkye0n9, and @DongminHyun1)

[이준석 @ljs960207]

Our discovery is that it can help to accurately classify low-degree nodes, while showing a good performance for high-degree nodes.