Roman Joeres
@romanjoeres.bsky.social
PhD student | Drug-Target Interactions | GNN | DL | Data splitting | chess player | running | climbing | swimming | movies
@guangyichen.bsky.social
@alexandergress.bsky.social
@alperyurtseven.bsky.social
Anastasiia Kolchina
Amay Agrawal
@ok55991.bsky.social
@helmholtzhips.bsky.social
@uni-saarland.de
@saarland-informatics-campus.de
@helmholtzhzi.bsky.social
@alexandergress.bsky.social
@alperyurtseven.bsky.social
Anastasiia Kolchina
Amay Agrawal
@ok55991.bsky.social
@helmholtzhips.bsky.social
@uni-saarland.de
@saarland-informatics-campus.de
@helmholtzhzi.bsky.social
July 25, 2025 at 12:49 AM
Thanks one more time for the great collaboration @dbblumenthal.bsky.social
@ok55991.bsky.social
@helmholtzai.bsky.social
@helmholtzhzi.bsky.social
@helmholtzhips.bsky.social
@ok55991.bsky.social
@helmholtzai.bsky.social
@helmholtzhzi.bsky.social
@helmholtzhips.bsky.social
April 15, 2025 at 11:23 AM
Thanks one more time for the great collaboration @dbblumenthal.bsky.social
@ok55991.bsky.social
@helmholtzai.bsky.social
@helmholtzhzi.bsky.social
@helmholtzhips.bsky.social
@ok55991.bsky.social
@helmholtzai.bsky.social
@helmholtzhzi.bsky.social
@helmholtzhips.bsky.social
Very nice analysis, thank you!
I assume the absolute numbers are the number of interactions in the whole dataset, but what are the percentages?
I assume the absolute numbers are the number of interactions in the whole dataset, but what are the percentages?
December 18, 2024 at 8:54 AM
Very nice analysis, thank you!
I assume the absolute numbers are the number of interactions in the whole dataset, but what are the percentages?
I assume the absolute numbers are the number of interactions in the whole dataset, but what are the percentages?
And for all non-Swedes around: This is what GIFFLAR also can look like
December 5, 2024 at 11:40 AM
And for all non-Swedes around: This is what GIFFLAR also can look like
GIFFLAR is this: A GNN based on Higher-Order Message-Passing for Glycan Representation Learning.
Work conducted together with @dbojar.bsky.social
arxiv.org/abs/2409.13467
Work conducted together with @dbojar.bsky.social
arxiv.org/abs/2409.13467
Higher-Order Message Passing for Glycan Representation Learning
Glycans are the most complex biological sequence, with monosaccharides forming extended, non-linear sequences. As post-translational modifications, they modulate protein structure, function, and inter...
arxiv.org
December 5, 2024 at 11:38 AM
GIFFLAR is this: A GNN based on Higher-Order Message-Passing for Glycan Representation Learning.
Work conducted together with @dbojar.bsky.social
arxiv.org/abs/2409.13467
Work conducted together with @dbojar.bsky.social
arxiv.org/abs/2409.13467