| 2025 | NeSy | Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models. | Mrcio Nicolau, Anderson R. Tavares, Zhiwei Zhang, Pedro H. C. Avelar, Joo Marcos Flach, Lus C. Lamb, Moshe Y. Vardi |
| 2023 | ICTAI | Graph Neural Networks with No Supervision and Heuristics for the Kidney-Exchange Problem. | Pedro Foletto Pimenta, Pedro H. C. Avelar, Lus C. Lamb |
| 2021 | ICAART | Discrete and Continuous Deep Residual Learning over Graphs. | Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Lus C. Lamb |
| 2020 | ICANN | Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases. | Henrique Lemos, Pedro H. C. Avelar, Marcelo O. R. Prates, Artur S. d'Avila Garcez, Lus C. Lamb |
| 2020 | IJCAI | Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. | Lus C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi |
| 2019 | AAAI | Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP. | Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos, Lus C. Lamb, Moshe Y. Vardi |
| 2019 | ICANN | Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network. | Pedro H. C. Avelar, Henrique Lemos, Marcelo O. R. Prates, Lus da Cunha Lamb |
| 2019 | ICTAI | Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems. | Henrique Lemos, Marcelo O. R. Prates, Pedro H. C. Avelar, Lus C. Lamb |