71 citations · 73 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 2 cited
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Tobias Bernecker, Ghalia Rehawi, Francesco Paolo Casale +2
Graph generation addresses the problem of generating new graphs that have a data distribution similar to real-world graphs. While previous diffusion-based graph generation methods…
cs.LG2020★ 71 cited
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar, Michael Heinzinger, Christian Dallago +9
Computational biology and bioinformatics provide vast data gold-mines from protein sequences, ideal for Language Models taken from NLP. These LMs reach for new prediction frontiers…