5 citations · 5 across the 3 of their papers we have counts for
3 papers
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…
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…
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction
Peter Samoaa, Linus Aronsson, Antonio Longa +2
Most machine learning and data analytics applications, including performance engineering in software systems, require a large number of annotations and labelled data, which might n…