yijunran,Yijun Ran,github

epydemic

Epidemic processes on networks in Python

hosts

:statue_of_liberty:最新可用的google hosts文件。镜像：

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

kaggle-redhat

Kaggle: Predicting Red Hat Business Value

LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

line

LINE: Large-scale information network embedding

link-prediction-based-on-ml

通过研究社交网络，从网络中提取拓扑结构特征，运用机器学习方法进行链路预测，比较了几种机器学习算法的预测精度。

machine-learning

Content for Udacity's Machine Learning curriculum

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

mathematics-of-epidemics-on-networks

Source code accompanying 'Mathematics of Epidemics on Networks' by Kiss, Miller, and Simon http://www.springer.com/us/book/9783319508047

maximum-capability-link-prediction

This page is a companion for our paper on the maximum capability of a topological feature in link prediction, written by Yijun Ran, Xiao-Ke Xu, and Tao Jia.

multi-state-solver

MATLAB/Octave code for numerically solving multi-state degree-based frameworks

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

node2vec

nrlpapers

Must-read papers on network representation learning (NRL)/network embedding (NE)

nsc

Neural Sentiment Classification

opinion-leaders-mining

本文提出一种基于应答关系来挖掘QQ群中意见领袖的方法，该方法首先构建回应词词库，然后基于Aho-Corasick算法来匹配聊天文本中的回应词数据，构建出用户应答关系的网络结构，最后使用社交网络中重要节点识别的方法来发现意见领袖。该方法对QQ群中的意见领袖发现具有较高的准确率，在融合QQ群用户交互社交网络的节点重要性特征后，能够达到更好的意见领袖发现效果。