2 papers
cs.LG2025
A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants
Peter Samoaa, Marcus Vukojevic, Morteza Haghir Chehreghani +1
Graph-level regression underpins many real-world applications, yet public benchmarks remain heavily skewed toward molecular graphs and citation networks. This limited diversity hin…
cs.LG2024
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks
Peter Samoaa, Mehrdad Farahani, Antonio Longa +2
The landscape of deep learning has vastly expanded the frontiers of source code analysis, particularly through the utilization of structural representations such as Abstract Syntax…