1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
GraphBench: Next-generation graph learning benchmarking
Timo Stoll, Chendi Qian, Ben Finkelshtein +16
Machine learning on graphs has made substantial progress across domains such as molecular property prediction and chip design. Yet benchmarking practices remain fragmented, often r…
cs.LG2025
On the Efficiency of Training Robust Decision Trees
Benedict Gerlach, Marie Anastacio, Holger H. Hoos
As machine learning gets adopted into the industry quickly, trustworthiness is increasingly in focus. Yet, efficiency and sustainability of robust training pipelines still have to…