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Name: Shenzhi Yang
Type: User
Name: Shenzhi Yang
Type: User
The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
A library for mining of path-based representations of code (and more)
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.
A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
A curated list of awesome research papers, datasets and software projects devoted to machine learning and source code.
PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
中文的Latex模板,适合课程论文,笔记,报告什么的。
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
Contrastive neighbor embeddings
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
《算法导论》第三版中算法的C++实现
哈尔滨工业大学(深圳)计算机科学与技术研究生课程
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
[ICMLW 2023] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
Pytorch implementation of EvenNet.
Make AST and SBT from java file
Code for Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks published at IJCNN 2022
General Strategy for Unlearning in Graph Neural Networks
A CSP solution to verify whether or not a Golomb ruler of a fixed length L for M marks exists.
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.