Exploring a Siamese Neural Network Architecture for One-Shot Drug Discovery. - Luis H. M. Torres; Nelson R. C. Monteiro; José Luís Oliveira; Joel Arrais; Bernardete Ribeiro (BIBE, 2020)

Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction. - Luis H. M. Torres; Bernardete Ribeiro; Joel Arrais (ESANN, 2023)

Few-shot learning via graph embeddings with convolutional networks for low-data molecular property prediction. - Luis H. M. Torres; Joel P. Arrais; Bernardete Ribeiro (Neural Comput. Appl., 2023)

Few-shot learning with transformers via graph embeddings for molecular property prediction. - Luis H. M. Torres; Bernardete Ribeiro; Joel P. Arrais (Expert Syst. Appl., 2023)

Multi-scale cross-attention transformer via graph embeddings for few-shot molecular property prediction. - Luis H. M. Torres; Bernardete Ribeiro; Joel P. Arrais (Appl. Soft Comput., 2024)

A Hybrid GNN Approach for Improved Molecular Property Prediction. - Pedro Quesado; Luis H. M. Torres; Bernardete Ribeiro; Joel P. Arrais (J. Comput. Biol., 2024)

Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction. - Luis H. M. Torres; Joel P. Arrais; Bernardete Ribeiro (J. Cheminformatics, 2024)

Rethinking transformers with convolution and graph embeddings for few-shot molecular property discovery. - Luis H. M. Torres; Joel P. Arrais; Bernardete Ribeiro (Pattern Recognit., 2025)