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Hadi Abdine

3 accepted papers

2025

Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment

NeurIPS 2025poster

Predicting protein function from sequence is a central challenge in computational biology. While existing methods rely heavily on structured ontologies or similarity-based techniques, they often lack the flexibility to express structure-free functional descriptions and novel biological functions. In…

Cited by 0SourcecodeScholar
2024

GreekBART: The First Pretrained Greek Sequence-to-Sequence Model

COLING 2024main

The era of transfer learning has revolutionized the fields of Computer Vision and Natural Language Processing, bringing powerful pretrained models with exceptional performance across a variety of tasks. Specifically, Natural Language Processing tasks have been dominated by transformer-based language…

2024

Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers

AAAI 2024technical

In recent years, significant progress has been made in the field of protein function prediction with the development of various machine-learning approaches. However, most existing methods formulate the task as a multi-classification problem, i.e. assigning predefined labels to proteins. In this work…