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Starred repositories
Code Property Graph: specification, query language, and utilities
VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries
Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
链家网和贝壳网房价爬虫，采集北京上海广州深圳等21个中国主要城市的房价数据（小区，二手房，出租房，新房），稳定可靠快速！支持csv,MySQL, MongoDB,Excel, json存储，支持Python2和3，图表展示数据，注释丰富 ，点星支持，仅供学习参考，请勿用于商业用途，后果自负。
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
[ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)
Bag of Tricks for Graph Neural Networks.
Using GPT to organize and access information, and generate questions. Long term goal is to make an agent-like research assistant.
An online English-Chinese-Japanese dictionary for the terms of Genshin Impact
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
SoftVC VITS Singing Voice Conversion
Implementation of the VITS model
Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Graph Representation Learning via Graphical Mutual Information Maximization
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
A playbook for systematically maximizing the performance of deep learning models.
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The proble…
An unofficial Python wrapper for OpenAI's ChatGPT API
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)