epiTCR: a highly sensitive predictor for TCR–peptide binding

Deep Learning the T Cell Receptor Binding Specificity of Neoantigen

ERGO is a deep learing based model for predicting TCR-peptide binding.

ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction

TEIM: TCR-Epitope Interaction Modeling

Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes

A tool for predictiting T cell receptor-epitope binding specificity via interpretable deep learning

Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2021)

Multimodal Whole Slide Foundation Model for Pathology

Bag of Tricks for Graph Neural Networks.

Official PyTorch Implementation of SAGPool - ICML 2019

Hands-On Graph Neural Networks Using Python, published by Packt