The dataset for the variable-misuse task, used in the ICLR 2020 paper 'Global Relational Models of Source Code' [https://openreview.net/forum?id=B1lnbRNtwr]

This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

novel deep learning research works with PaddlePaddle

An incremental parsing system for programming tools

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Data and Code for Reproducing "Global Relational Models of Source Code"

GraphGen4Code: a toolkit for creating code knowledge graphs based on WALA code analysis and extraction of documentation and forum content.

code for "Learning to Represent Programs with Heterogeneous Graphs"

source{d} datasets ("big code") for source code analysis and machine learning on source code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

Website for "A Survey of Machine Learning for Big Code and Naturalness"

A Python implementation of a language-agnostic Code Property Graph

Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"

PROGEX (Program Graph Extractor); a cross platform tool for extracting graphical program representations from software source code

CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

Graph Neural Network Library for PyTorch

StellarGraph - Machine Learning on Graphs

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

The guide to tackle with the Text Summarization

Open-source code analysis platform for C/C++/Java/Binary/Javascript/Python/Kotlin based on code property graphs. Discord https://discord.gg/vv4MH284Hc

A library to extract Code Property Graphs from C/C++, Java, Go, Python, Ruby and every other language through LLVM-IR.

Neural Code Comprehension: A Learnable Representation of Code Semantics

LLVM IR入门指南

PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. We provide scripts for downloading, processing, and loading t…

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.