Joiexu

Joiexu'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

  175k5.3k56650.8k

• grandyang/leetcode

  Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

  6.2k2412k737

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.7k6464993

• aditya-grover/node2vec

  Language:Scala2.6k63101912

• tensorflow/privacy

  Library for training machine learning models with privacy for training data

  Language:Python1.9k60179445

• PaddlePaddle/PGL

  Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

  Language:Python1.6k27194311

• datawhalechina/hands-on-data-analysis

  动手学数据分析以项目为主线，知识点孕育其中，通过边学、边做、边引导来得到更好的学习效果

  Language:Jupyter Notebook1.1k2019354

• autoencoder-github/interviewtop

  737121123

• datawhalechina/wonderful-sql

  Follow me，从 0 到 1 掌握 SQL。

  7361011158

• muhanzhang/SEAL

  SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

  Language:C5881276138

• qcymkxyc/RecSys

  项亮的《推荐系统实践》的代码实现

  Language:Jupyter Notebook47986140

• datawhalechina/fantastic-matplotlib

  Matplotlib中文教程，在线阅读地址：https://datawhalechina.github.io/fantastic-matplotlib/

  Language:Python45253103

• betterenvi/gSpan

  Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.

  Language:Jupyter Notebook19462290

• rexrex9/gnn

  gnn还附带一个kgcn

  Language:Python1011325

• yebiro/Link-Prediction-on-Social-Networks

  社交网络中的链路预测算法

  Language:Python890218

• nkahmed/PGD

  A Parallel Graphlet Decomposition Library for Large Graphs

  Language:C++8551130

• gtremper/Network-Motif

  Python wrapper for the Kavosh network motif finder

  Language:C509129

• NamrataThakur/Social-Network-Link-Prediction

  A graph mining problem where the task was to predict a link between the given nodes. Engineered different features like Jaccard Distance, Cosine-Similarity, Shortest Path, Page Rank, Adar Index, HITS score and Kartz Centrality. Finally built non-linear models to get the final F1 score as 0.92.

  Language:Jupyter Notebook9211

• AlanConstantine/DataScienceProjects

  从网上搜刮好的数据科学项目并进行重现

  Language:Jupyter Notebook6002

• blextar/graph-k-degree-anonymity

  Liu and Terzi 2008

  Language:Python6101

• YEZIQM/Node2Vec_Subject_similarity

  node2vec is an algorithmic framework for representational learning on graphs. Given any graph, it can learn continuous feature representations for the nodes, which can then be used for various downstream machine learning tasks. The node2vec algorithm used here is to measure the similarity of research subjects listed in the research grants. The subject co-occurence networks constructed by the the grants data are weighted and undirected.

  Language:Jupyter Notebook4201

• XuXING0430/ComplexNetworkInJava

  Complex network analysis use Java.

  2201