quacksonz's starred repositories
llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
linux_kernel_wiki
linux内核学习资料：200+经典内核文章，100+内核论文，50+内核项目，500+内核面试题，80+内核视频
interview-go
golang面试题集合
campus_recruitmen_questions
2021年最新整理，5000道秋招/提前批/春招/常用面试题（含答案），包括leetcode，校招笔试题，面试题，算法题，语法题。
graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
cpp-backend-reference
C++后端开发面试题
awesome-llvm
A curated list of awesome LLVM (including Clang, etc) related resources.
JavaAdvance-Interview
2022java面试题、JVM面试题、多线程面试题、并发编程、Redis面试题、MySQL面试题、Java2022面试题、Netty面试题、Elasticsearch面试题、Tomcat面试题、Dubbo面试题、Kafka面试题、Linux面试题、2021面试题、java面试、2022面试题，Java面试题、设计模式面试题、Spring面试题、MyBatis面试题、Memcached面试题、MongoDB面试题、ZooKeepe面试题、RabbitMQ面试题、HTML面试题、CSS面试题、Vue面试题、React面试题、JavaScript面试题、2021java面试题、2021java面试、Java2021面试题、2022java面试
SASRec.pytorch
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
interview_back_end
Linux C/C++ 后台开发 面试题目
GraMi
GraMi is a novel framework for frequent subgraph mining in a single large graph, GraMi outperforms existing techniques by 2 orders of magnitudes. GraMi supports finding frequent subgraphs as well as frequent patterns, Compared to subgraphs, patterns offer a more powerful version of matching that captures transitive interactions between graph nodes (like friend of a friend) which are very common in modern applications. Also, GraMi supports user-defined structural and semantic constraints over the results, as well as approximate results. For more details, check our paper: Mohammed Elseidy, Ehab Abdelhamid, Spiros Skiadopoulos, and Panos Kalnis. GRAMI: Frequent Subgraph and Pattern Mining in a Single Large Graph. PVLDB, 7(7):517-528, 2014.
ShortcutsBench
ShortcutsBench: A Large-Scale Real-World Benchmark for API-Based Agents
SpectralEmbeddings
spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Spline GCN along with SDNe based Graph Autoencoder.
cloud-native-notes
:cloud: 云原生技术面试必备基础知识
GRU4Rec_PyTorch_Official
Official implementation of the GRU4Rec algorithm in PyTorch
joint-re-kge
有关多任务学习的基于知识图谱的推荐系统和图谱补全（嵌入）联合训练的几篇论文复现
chrome-page-graph
Chrome extension to generate interactive page dependency graphs
Apriori-and-FP_Growth
数据挖掘：Apriori算法与FP-Growth算法实现对比(Data Mining: Apriori Algorithm vs. FP-Growth Algorithm)
Github-Commits-Crawling
Scraping all of the GitHub-commits dates of a given user