On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals. - Marcelo O. R. Prates; Pedro H. C. Avelar; Luís C. Lamb (GCAI, 2018)

Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP. - Marcelo O. R. Prates; Pedro H. C. Avelar; Henrique Lemos 001; Luís C. Lamb; Moshe Y. Vardi (AAAI, 2019)

Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network. - Pedro H. C. Avelar; Henrique Lemos 001; Marcelo O. R. Prates; Luís da Cunha Lamb (ICANN (Workshop), 2019)

Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems. - Henrique Lemos 001; Marcelo O. R. Prates; Pedro H. C. Avelar; Luís C. Lamb (ICTAI, 2019)

Typed Graph Networks. - Pedro H. C. Avelar; Henrique Lemos 001; Marcelo O. R. Prates; Marco Gori; Luís C. Lamb (CoRR, 2019)

Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases. - Henrique Lemos 001; Pedro H. C. Avelar; Marcelo O. R. Prates; Artur S. d'Avila Garcez; Luís C. Lamb (ICANN (1), 2020)

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. - Luís C. Lamb; Artur S. d'Avila Garcez; Marco Gori; Marcelo O. R. Prates; Pedro H. C. Avelar; Moshe Y. Vardi (IJCAI, 2020)

Superpixel Image Classification with Graph Attention Networks. - Pedro H. C. Avelar; Anderson R. Tavares; Thiago L. T. da Silveira; Cláudio R. Jung; Luís C. Lamb (SIBGRAPI, 2020)

Understanding Boolean Function Learnability on Deep Neural Networks. - Anderson R. Tavares; Pedro H. C. Avelar; João M. Flach; Márcio Nicolau; Luís C. Lamb; Moshe Y. Vardi (CoRR, 2020)

Assessing gender bias in machine translation: a case study with Google Translate. - Marcelo O. R. Prates; Pedro H. C. Avelar; Luís C. Lamb (Neural Comput. Appl., 2020)

Discrete and Continuous Deep Residual Learning over Graphs. - Pedro H. C. Avelar; Anderson R. Tavares; Marco Gori; Luís C. Lamb (ICAART (2), 2021)

Measuring Ethics in AI with AI: A Methodology and Dataset Construction. - Pedro H. C. Avelar; Rafael Baldasso Audibert; Anderson R. Tavares; Luís C. Lamb (CoRR, 2021)

Measuring Ethics in AI with AI: A Methodology and Dataset Construction. - Pedro H. C. Avelar; Rafael Baldasso Audibert; Luís C. Lamb (BRACIS (1), 2022)

Multi-omic Data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders. - Pedro Henrique da Costa Avelar; Roman Laddach; Sophia Karagiannis; Min Wu 008; Sophia Tsoka (LOD (2), 2022)

On the Evolution of A.I. and Machine Learning: Towards Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences. - Rafael Baldasso Audibert; Henrique Lemos dos Santos; Pedro H. C. Avelar; Anderson R. Tavares; Luís C. Lamb (CoRR, 2022)

Graph Neural Networks with No Supervision and Heuristics for the Kidney-Exchange Problem. - Pedro Foletto Pimenta; Pedro H. C. Avelar; Luís C. Lamb (ICTAI, 2023)

Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders. - Pedro Henrique da Costa Avelar; Min Wu 008; Sophia Tsoka (CoRR, 2023)

On the Evolution of AI and Machine Learning: Towards a Meta-level Measuring and understanding Impact, Influence and Leadership at Premier AI Conferences. - Rafael Baldasso Audibert; Henrique Lemos 001; Pedro H. C. Avelar; Anderson R. Tavares; Luís C. Lamb (FLAP, 2023)

Pathway Activity Autoencoders for Enhanced Omics Analysis and Clinical Interpretability. - Pedro Henrique da Costa Avelar; Le Ou-Yang; Min Wu 008; Sophia Tsoka (BIBM, 2024)

CLigOpt: controllable ligand design through target-specific optimization. - Yutong Li 006; Pedro Henrique da Costa Avelar; Xinyue Chen; Li Zhang; Min Wu 008; Sophia Tsoka (Bioinform., 2024)

Solving the kidney exchange problem via graph neural networks with no supervision. - Pedro Foletto Pimenta; Pedro H. C. Avelar; Luís C. Lamb (Neural Comput. Appl., 2024)

Subset-Contrastive Multi-Omics Network Embedding. - Pedro Henrique da Costa Avelar; Min Wu 008; Sophia Tsoka (CoRR, 2025)