2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference
Pol Puigdemont, Enrico Russo, Axel Wassington +3
Graph Neural Networks (GNNs) have shown significant promise in various domains, such as recommendation systems, bioinformatics, and network analysis. However, the irregularity of g…
cs.LG2022
ProGNNosis: A Data-driven Model to Predict GNN Computation Time Using Graph Metrics
Axel Wassington, Sergi Abadal
Graph Neural Networks (GNN) show great promise in problems dealing with graph-structured data. One of the unique points of GNNs is their flexibility to adapt to multiple problems,…
cs.LG2022★ 1 cited
Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation
Axel Wassington, Sergi Abadal
In general, to draw robust conclusions from a dataset, all the analyzed population must be represented on said dataset. Having a dataset that does not fulfill this condition normal…