Notlaughinggirl's repositories
modeling-attflow-on-graphs
Code for Paper "Modeling Attention Flow on Graphs"
awesome-network-analysis
A curated list of awesome network analysis resources.
ClusChurn
A prototype implementation of ClusChurn based on PyTorch.
contagion
Monte-Carlo simulator for disease spreading on static complex networks with multiple outbreak locations.
DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
epistemic_inequality
Replication data and code for "Prestige drives epistemic inequality in the diffusion of scientific ideas"
GameofThrone-SNA
a practice of game of throne, based on social network analysis
go-common
听说这是来自 https://github.com/openbilibili/go-common/ 的 “哔哩哔哩 bilibili 网站后台工程 源码”，不过咱也不知道这是啥。 据说 是他干的
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
graph-based-nn
Graph Convolutional Networks (GCNs)
group-sparse-nmf-vb
Probabilistic formulation of Group Sparse NMF, variational Bayesian learning.
HEER
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)
higher-order-organization-julia
Jupyter notebooks for examples in the paper "Higher-order organization of complex networks".
Influence-Maximization
Implementation of Greedy++ (SIGIR'17)
learning-to-learn
Learning to Learn in TensorFlow
netdiffuseR
netdiffuseR: Network Analysis for Diffusion of Innovations
NRLPapers
Must-read papers on network representation learning (NRL) / network embedding (NE)
PeerRead
Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"
PIDOptimizer
Present, Past and Future Optimizer for deep learning optimization
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
PythonSpiderNotes
Python入门网络爬虫之精华版
reinforcement-learning-an-introduction
Python implementation of Reinforcement Learning: An Introduction
sand
Statistical Analysis of Network Data with R
sir-hawkes
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations
social-lstm
Socially-primed LSTM model to predict intercommunity conflict on Reddit.