Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)

An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"

Code for the paper "A Structural Model for Contextual Code Changes"

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

TensorFlow code for the neural network presented in the paper: "Structural Language Models of Code" (ICML'2020)

Example programs for ATAM

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)