Ender-li

Ender-li's Stars

• CyC2018/CS-Notes

  :books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

  177k5.3k57251.1k

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java147k4.5k1k45.6k

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java98k53722512.4k

• izackwu/TeachYourselfCS-CN

  TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

  19.8k403193.2k

• dmlc/dgl

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

  Language:Python13.5k1752.8k3k

• singgel/JAVA

  存放JAVA开发的设计**、算法：《剑指Offer》、《编程珠玑》、《深入理解Java虚拟机：JVM高级特性与最佳实践》、《重构-改善既有代码的设计 中文版》、《clean_code(中文完整版)》、《Java编程**(第4版)》、《Java核心技术 卷I (第8版)》、《Quartz_Job+Scheduling_Framework》；一些大的上传不上来的文件在README

  5.6k77221.9k

• moesnow/March7thAssistant

  崩坏：星穹铁道全自动 三月七小助手

  Language:Python5.3k10240128

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.7k6365996

• DeepGraphLearning/LiteratureDL4Graph

  A comprehensive collection of recent papers on graph deep learning

  3.1k1919565

• ChandlerBang/awesome-self-supervised-gnn

  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

  Language:Python1.6k533164

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python89084796

• twjiang/graphSAGE-pytorch

  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

  Language:Python6251022151

• chaitjo/efficient-gnns

  Code and resources on scalable and efficient Graph Neural Networks

  Language:Python52820164

• xkLi-Allen/Awesome-GNN-Research

  My future research

  4014155

• coder-duibai/Contrastive-Learning-Papers-Codes

  A comprehensive list of Awesome Contrastive Learning Papers&Codes.Research include, but are not limited to: CV, NLP, Audio, Video, Multimodal, Graph, Language, etc.

  3985142

• zhao-tong/graph-data-augmentation-papers

  A curated list of graph data augmentation papers.

  2988023

• wusw14/GNN-in-RS

  2835065

• sangyx/gtrick

  Bag of Tricks for Graph Neural Networks.

  Language:Jupyter Notebook2815819

• zhumeiqiBUPT/AM-GCN

  AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

  Language:Python22322148

• chrsmrrs/k-gnn

  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

  Language:C++18242245

• rish-16/grafog

  Graph Data Augmentation Library for PyTorch Geometric

  Language:Python127517

• logseminar/Schedule

  Schedule for learning on graphs seminar

  1111105

• Shen-Lab/GraphCL_Automated

  [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

  Language:Python1094911

• SitaoLuan/ACM-GNN

  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

  Language:Python71709

• SongtaoLiu0823/LAGNN

  [ICML 2022] Local Augmentation for Graph Neural Networks

  Language:Python6621114

• LingxiaoShawn/GNNAsKernel

  Source code for From Stars to Subgraphs (ICLR 2022)

  Language:Python643611

• kaize0409/awesome-graph-data-augmentaion

  A curated list of publications and code about data augmentaion for graphs.

  63205

• yifeiacc/COSTA

  Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

  Language:Python46344

• Yangyeeee/SGAT

  Language:Python40429

• susheels/gnns-and-local-assortativity

  This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns"

  Language:Python31403