3 papers
cs.LG2025
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…
cs.LG2024
Edge-Based Graph Component Pooling
T. Snelleman, B. M. Renting, H. H. Hoos +1
Graph-structured data naturally occurs in many research fields, such as chemistry and sociology. The relational information contained therein can be leveraged to statistically mode…