sanrenyimu Goto Github PK

begin

bigcn

Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020

complexity72_linkprediction

complexity72 project - bipartite null model - link prediction

decagon

Graph convolutional neural network for multirelational link prediction

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

friends-recommender-in-social-network

Friends Recommendation and Link Prediction in Social Netowork

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

gnn_review

GNN综述阅读报告

gnnpapers

Must-read papers on graph neural networks (GNN)

gpf

GPF（Graph Processing Flow）：利用图神经网络处理问题的一般化流程

graph-data-analysis

Worked with a number of real-world datasets available at http://snap.stanford.edu/ to identify the importance of certain nodes in terms of their degree, betweenness, closeness centralities and clustering co-efficient. • Studied the different random graph generator models to identify the best synthetic random graph generator that reflects real-world datasets better and experimented it with the large social networking sites such as Facebook. • Visualized the graphs using tools such as Gephi, Cystoscape and GraphViz and experimented with different layouts to identify the best visualization layout that distinguishes the critical characteristics of the network.

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

hcd_sgl

基于单条原路径实现的异质信息网络社团划分算法，参考论文《异质信息网络中基于元路径的社团发现算法研究》

hetionet

Hetionet: an integrative network of disease

hetmatpy

Python package for matrix storage and operations on hetnets

hetnetpy

Hetnets in Python (relocated from dhimmel/hetio)

identifying-critical-nodes

Efficiently identifying critical nodes in large complex networks

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

jena-learning

jena-learning exmaple

jena-reasoning-with-rules

Reasoning with Apache Jena and rules

kaggle-titanic

link-prediction

链路预测学习代码整理

link-prediction-in-co-authorship

Link Prediction in Co-authorship dataset

link_prediction_social_network

Link prediction in social network - Friend TNS algorithm

linkpred

Easy link prediction tool

linkprediction

Solution for Tsinghua Data Science Winter School 2017

linkpredictiongcn

machine-learning

machine-learning

machine-learning-1

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归