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1. code2vec code2vec Public

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

   Python 1.2k 289

2. code2seq code2seq Public

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

   Python 565 163

3. how_attentive_are_gats how_attentive_are_gats Public

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

   Python 384 41

4. RASP RASP Public

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

   Python 346 35

5. Nero Nero Public

   Code and resources for the paper: "Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs"

   Python 208 22

6. bottleneck bottleneck Public

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

   Python 100 23

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