Baojian Zhou's starred repositories
DynamicPPE
Code for the KDD21 paper "Subset Node Representation Learning over Large Dynamic Graphs"
paper-tips-and-tricks
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
awesome-network-embedding
A curated list of network embedding techniques.
dynamicppr
The implementation of the paper "Parallel Personalized PageRank on Dynamic Graphs"
wiki-scripts
Miscellaneous scripts to gather and process data of wikis.
deepwalk-c
DeepWalk implementation in C++
graph_nets
Build Graph Nets in Tensorflow
covid-19-data
A repository of data on coronavirus cases and deaths in the U.S.
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
datamicroarray
A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.
icml2019-workshop-website
Website of the ICML 2019 workshop: "Identifying and Understanding Deep Learning Phenomena"
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
post--momentum
Why Momentum Really Works