Batch Mode Deep Active Learning for Regression on Graph Data. - Peter Samoaa; Linus Aronsson; Philipp Leitner 001; Morteza Haghir Chehreghani (IEEE Big Data, 2023)

A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction. - Peter Samoaa; Linus Aronsson; Antonio Longa; Philipp Leitner 001; Morteza Haghir Chehreghani (CoRR, 2023)

Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks. - Peter Samoaa; Mehrdad Farahani; Antonio Longa; Philipp Leitner 001; Morteza Haghir Chehreghani (CoRR, 2024)

A unified active learning framework for annotating graph data for regression tasks. - Peter Samoaa; Linus Aronsson; Antonio Longa; Philipp Leitner 001; Morteza Haghir Chehreghani (Eng. Appl. Artif. Intell., 2024)

A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants. - Peter Samoaa; Marcus Vukojevic; Morteza Haghir Chehreghani; Antonio Longa (CoRR, 2025)