This study aims to contribute to the research on binding affinity prediction using deep learning. We also proposed a novel approach to conceptualize protein-ligand interactions as multigraphs, promoting a valid approach that includes both entities (protein and ligand) involved in the binding process. Furthermore, the model can serve as pre-trained model that can be further fine-tuned as needed to cater to specific target proteins, enabling accurate and reliable predictions.